StartupTalky

Tag: Generative AI

  • AI Mastery Unleashed: Ranjan Kumar’s Visionary Impact at Entropik

    StartupTalky presents Recap’23, a series of in-depth interviews where we engage with founders and industry leaders to explore their growth in 2023 and their predictions for the future.

    The AI industry is a dynamic force, advancing machine learning and automation. From personalized user experiences to data analysis, AI is reshaping sectors globally. Its rapid evolution is driving innovation and transforming industries like healthcare and finance. The integration of intelligent technology reflects a pivotal shift in how businesses operate and adapt to the digital age.

    The global artificial intelligence market, valued at $136.55 billion in 2022, is projected to grow at a compound annual growth rate (CAGR) of 37.3% from 2023 to 2030, reaching an estimated $1,811.8 billion. AI is expected to contribute $15.7 trillion to the global economy by 2030, surpassing the current output of China and India combined.

    In a recent Recap’23 interview, we at StartupTalky had the privilege of connecting with Ranjan Kumar, Co-founder and CEO of Entropik. We looked into how Entropik has been growing, facing challenges, learning valuable lessons, and planning for the future. Discover how their innovative approach is changing the AI industry.

    StartupTalky: What service does Entropik provide? What was the motivation/vision with which you started?

    Ranjan Kumar: Entropik is a Human Insights AI company specializing in consumer and user research, offering vertical SaaS solutions and API/SDK platform integrations. The motivation behind founding Entropik was to redefine how businesses understand and analyze human emotions and behavior. The vision was to leverage advanced technologies, such as Emotion AI, Behavior AI, and Generative AI, to provide comprehensive insights into consumer and user experiences. By combining these technologies, Entropik aimed to revolutionize traditional research methods, offering faster, scalable, and more accurate solutions. 

    The overarching goal was to enable businesses to make informed decisions by gaining a deeper understanding of human behavior and emotions in various contexts, from consumer preferences to user interactions with physical and digital products. Entropik’s commitment to innovation and human-centric insights continues to drive its mission of transforming the way businesses leverage insights for data-driven decision-making. 

    StartupTalky: What new features have been added in the past year? What are the USP/s of Entropik’s service?

    Ranjan Kumar: This year, we have experienced remarkable growth with noteworthy additions to our Insights AI technology suite. We kicked off the year by introducing Decode, an Integrated Consumer Research Platform powered by Entropik’s Insights AI, reducing Time to Insights by six times. It’s an all-in-one platform for Quantitative, Qualitative, Diaries, Media, and Shopper research, integrated with a Global Panel of 80 million Respondents across 120 countries. Decode acts as a Single Source of Truth, unifying data efficiently. Its Unified Intelligence and Co-pilot features assimilate past and present first-party and third-party research data for actionable insights.

    Additionally, we launched Qatalyst, an Integrated User Research platform with Insights AI, making user research six times faster. It facilitates moderated, unmoderated, and task-based research across Concepts, Prototypes, and Live Applications in one place. Qatalyst provides instant access to the target audience. Qatalyst’s Insights AI platform employs facial coding, eye tracking, voice tone, and generative AI for unbiased insights, ensuring a human-centric approach to product and service design. It’s the go-to platform for supercharging user research—faster, more agile, and equipped with powerful AI-driven insights.

    StartupTalky: How has the AI industry changed in recent years, and how has Entropik adapted to these changes? Are there specific regulatory or technological shifts that have influenced your marketplace strategy?

    Ranjan Kumar: In recent years, the Insights AI industry has undergone significant changes marked by technological advancements and increased demand for comprehensive insights. At Entropik, we have adapted by launching products like Decode and Qatalyst, leveraging our Insights AI platform, which supports Emotion AI, Behavior AI, and Generative AI to provide holistic views of consumer behavior and enhance user research. Our commitment to ethical AI practices aligns with evolving regulatory considerations, ensuring responsible data handling and user privacy. Additionally, our global expansion and localization efforts reflect our adaptability to diverse market needs. Entropik’s agility, innovation, and customer-centric approach position us to thrive in a dynamic industry landscape.

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    Ranjan Kumar: We stay updated on trends through continuous learning, networking, and diverse information channels. We attend and host conferences, workshops, and seminars, engaging with experts to gain insights and also drive the industry forward. Ongoing education via online courses and webinars with reputable institutions deepens our understanding. Additionally, actively participating in academic research and leveraging technology news platforms ensures real-time updates on market trends. This multifaceted approach positions us to navigate the Insights AI market research landscape.

    StartupTalky: What key metrics do you track to check Entropik’s growth and performance? How do you use these metrics to identify areas for improvement and guide strategic decisions for future growth?

    Ranjan Kumar: We closely monitor several key metrics to assess Entropik’s growth and performance. These include customer acquisition and retention rates, revenue growth, and product adoption metrics. By analysing these indicators, we can identify areas for improvement and guide strategic decisions for future growth. Additionally, we track user engagement in our products, Decode and Qatalyst, to ensure we are meeting the evolving needs of our clients. These metrics provide valuable insights that inform our product development and business expansion strategies.

    StartupTalky: What were the most significant challenges Entropik faced in the past year, and how did you overcome them?

    Ranjan Kumar: The global economic downturn posed a considerable hurdle, affecting market conditions and consumer spending. Amidst this, our commitment to global expansion faced challenges, yet it proved to be an energizing journey. The opening of Series B funding provided valuable opportunities for growth and innovation. Leveraging this funding, we enhanced our technological capabilities, enabling us to adapt swiftly to changing market dynamics.

    StartupTalky: Trust among all the stakeholders is very important for a marketplace. How do you ensure it?

    Ranjan Kumar: Building trust in a marketplace requires a multi-pronged approach that cultivates a sense of shared responsibility and mutual benefit among all stakeholders. Transparency forms the cornerstone, with clear communication about policies, pricing, usage, and data practices fostering a sense of fairness. Investing in robust security measures and user privacy protections underscores respect for their information and builds confidence. Equipping both buyers and sellers with tools and resources not only enhances their sense of control but also empowers them, reinforcing a trustful environment. By consistently prioritizing fair practices, open communication, and stakeholder empowerment, a company can cultivate a marketplace where everyone feels valued, protected, and invested in its long-term success.

    StartupTalky: What are the different strategies you use for marketing? Tell us about any growth hack that you pulled off.

    Ranjan Kumar: Our marketing strategies encompass a mix of digital marketing, content marketing, and targeted outreach to key industries. We leverage thought leadership through webinars, whitepapers, and participation in industry events to showcase our expertise. One notable growth hack was the strategic use of customer testimonials and case studies, highlighting the tangible impact of our solutions. This not only boosted our credibility but also generated organic interest and trust in our offerings, contributing to increased market visibility and growth.

    StartupTalky: What opportunities do you see for future growth in the AI industry in India and the world? What kind of difference in market behavior have you seen between India and the world?

    Ranjan Kumar: Globally, the increasing reliance on AI-driven insights for consumer and user research presents a significant avenue for expansion. As businesses prioritize understanding human emotions and behavior, our advanced Emotion AI, Behavior AI, and Generative AI technologies uniquely position us to meet these evolving needs. In India, a rapidly digitizing landscape and a growing emphasis on data-driven decision-making create a conducive environment for our solutions. However, market behavior nuances differ, with diverse industries dominating each region. In India, sectors such as Fintech and E-commerce are witnessing rapid adoption, while globally, industries like Media and Telecom are equally pivotal. Understanding and adapting to these regional variations are integral to our strategy, ensuring that our offerings align with the specific demands of each market for sustained growth.

    StartupTalky: What lessons did your team learn in the past year, and how will these inform your plans and strategies?

    Ranjan Kumar: Over the past year, our team learned valuable lessons about the importance of agility, adaptability, and proactive communication. These lessons are instrumental in shaping our future plans and strategies. Moving forward, we aim to enhance our technological capabilities, further streamline our operational processes, and continue fostering a culture of innovation within our team. The resilience demonstrated during challenging times serves as a foundation for our strategic planning, ensuring we stay ahead in an ever-evolving landscape.

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    StartupTalky: How do you plan to expand the customers, service offerings, and team base in the future?

    Ranjan Kumar: We have ambitious plans for expansion across multiple fronts. In terms of customers, we will focus on deepening our relationships with existing clients while actively pursuing partnerships in the US and European markets. Our service offering will evolve to meet emerging market demands, with a continuous commitment to advancing our emotional AI, behavioral AI, and generative AI technologies. Team expansion will be strategic, aligning with our growth trajectory, and will involve hiring top talent to drive innovation and support our expanding client base.

    StartupTalky: One tip that you would like to share with another marketplace company founder?

    Ranjan Kumar: As the founder of a deep-tech AI SaaS company, it is crucial to prioritize building and maintaining trust. Trust is the cornerstone of successful AI companies, influencing user adoption, retention, and positive word-of-mouth. Focus on transparency, ethical practices, and reliable customer support to foster trust among all stakeholders—customers, partners, and employees. Prioritize the long-term relationship over short-term gains, as a trustworthy reputation can significantly impact the sustained success and growth of your marketplace.

    StartupTalky extends its gratitude to Mr. Ranjan Kumar for dedicating his valuable time and generously sharing his insights with all of us.

    Explore more Recap’23 Interviews here.

  • ChatGPT Prompts for Midjourney

    For people using generative AI tools like Chatbots and GPT-based search and image creation tools to generate and create content, the first conundrum that they find themselves with is coming up with correct prompts that get the job done. For people who don’t know, prompts are keywords or phrases that direct generative AI tools to generate content to your liking. Believe it or not, it’s easier said than done.

    For example, if you ask an AI chatbot such as Google’s Bard, OpenAI’s ChatGPT, or Microsoft’s Bing AI to write a blog on what generative AI is. In that case, it will come with some mundane yet, relevant content that meets the fundamental need. It will tell you what Generative AI is and highlight its features, but you can’t use it for anything necessary, including monetizing the above-stated content. What you are missing, is good prompts that can tailor the content to your liking, to your need.

    You can refine the phrases, be specific in what you want it to generate, and don’t forget to fact-check everything you get because there’s a high chance for inaccuracy, and the generative AI tools like ChatGPT and Bard accept this fact and tell you in advance.

    So, when it comes to using Midjourney, another generative AI tool developed by a company named Midjourney Inc., a San Francisco-based research lab that entered open beta in July 2022. This generative AI tool by Midjourney Inc. uses a variety of AI algorithms such as GANs (Generative Adversarial Networks), LSTMs (Long Short Term Memory Networks), and CNNs (not the new channel but Convolutional Neural Networks) to respond to each user prompts. It is popular for generating stunning pieces of art, known as AI art, which can be done with little to no effort; yes, you don’t have to be Picasso to use Midjourney. Just use a few art-relevant phrases known as prompts as user inputs.

    How to use Midjourney?
    How to use ChatGPT for Midjourney prompts?

    How to use Midjourney?

    The popularity of this AI tool has got a lot of people curious and wanting to use it or see this tool in action.

    Currently, you can’t use Midjourney for free, but, you can join the Beta, an invite-only group.

    At this point, I must highlight that while using Midjourney, you’ll get what you ask it to create. For instance, if you ask it to create a squirrel, it will create an image of a squirrel, and if you become more specific, like ask it to create an image of a squirrel sitting on a tree branch, eating an apple, it will probably come with ‘an image of a squirrel sitting on a tree branch, eating a green apple’. At this point, you might think that you don’t want the apple to be green or wonder why your squirrel doesn’t have stripes. You must realize that you didn’t specify anything about the same. The point is, for your image to be what it should look like, you must pinpoint every minute detail about this image you have in mind. Thereby, can control everything in that image, how it looks, feels, the theme, the colors, the tone of the colors, everything.

    If you want your image to look like a painting of a squirrel sitting on a tree branch, eating an apple done with oil paints on a canvas, you must specify that.

    You get the idea, right?

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    How to use ChatGPT for Midjourney prompts?

    ChatGPT, the popular generative AI chatbot, can be used to generate quite useful prompts for Midjourney. However, given the fact that ChatGPT’s training data is only limited to the events of the year 2021 and it has little to no information on things that happened post-2021, and the fact that Midjourney’s beta was launched in July 2022, it cannot simply help you off the shelf.

    For example, when I asked ChatGPT, “What do you know about Midjourney?”, it came up with an expected response like this:

    “I’m sorry, but as of my last knowledge update in September 2021, I don’t have any information on a company or entity called “Midjourney.” It’s possible that this is a relatively new organization or a term that hasn’t gained widespread recognition or relevance yet. Can you provide more context or details about what specifically you’re referring to? That way, I can try to assist you better.”

    ChatGPT's response on Midjourney
    ChatGPT’s response on Midjourney

    As you can see, ChatGPT admits that it has no idea about Midjourney as an entity. So, how do you get it to help you with Midjourney prompts?

    To get ChatGPT to help you with Midjourney prompts, you can feed it with some information about Midjourney and how it uses prompts so that it can generate some cool prompts for you.

    You can provide it with some examples, such as the one mentioned below (it’s a prompt about an image of a squirrel sitting on a tree branch eating an apple), to come up with a similar version of Midjourney prompts:

    “Within an enchanted woodland, a curious squirrel perches on a moss-covered branch beneath a lush canopy of verdant leaves. Sunbeams filter through the foliage, casting a soft, ethereal glow on the squirrel’s furry coat. It relishes a juicy apple, its sharp teeth leaving delicate marks on the fruit’s skin. The air carries the scents of damp earth and sweet blossoms, creating an immersive sensory experience. This tranquil scene invites you to explore the enchanting secrets hidden within the forest.”

    If that sounds too tricky, here’s what else you can do— you can use the popular Github page, where you can find a training data set ready to be used. All you have to do is copy this text, which is conditioning ChatGPT to create Prompts for Midjourney:

    ChatGPT Midjourney Prompt Generator Prompt
    ChatGPT Midjourney Prompt Generator Prompt

    Once you’ve copied the text you can enter the text into your ChatGPT “new chat” bar.

    It will come up with a response like this:

    Midjourney Prompt Generator Mode ready.

    [MPGM] Midjourney Prompt Generator Mode activated. [MPGM] User input options:

    [prompt] – Provide a description for the image you want to generate.

    [pX] – Select one of the three generated prompts (X = 1, 2, or 3) for image generation.

    [next] – Generate a new set of three prompts based on the last provided description.

    [good] – Provide feedback on the generated image.

    [bad] – Provide feedback on what was wrong with the generated image.

    [change] – Describe changes you want to make to the generated image.

    [help] – Display available user input options.

    Please proceed with step 1 and provide a [prompt] for the image you’d like to generate.

    Midjourney Prompts on ChatGPT
    Midjourney Prompts on ChatGPT

    Now you can follow step 1 and give chatGPT a prompt, something like this:

    “[prompt] A squirrel sitting on a tree branch eating an apple”

    You’d be surprised what ChatGPT came up with. Here it is:

    Great! Here are three imaginative prompts based on your description of a squirrel sitting on a tree branch eating an apple:

    1. Prompt 1: “Whimsical Harvest Feast”

    A mischievous squirrel perches on a gnarled tree branch, surrounded by an autumnal wonderland. The vibrant foliage paints the scene with hues of fiery red, golden yellow, and rustic orange. Sunlight filters through the canopy, casting dappled patterns on the squirrel’s fur as it enjoys a juicy, crimson apple. The squirrel’s mischievous gaze and the playful tilt of its head hint at a secret squirrel gathering where nature’s bounty is celebrated.

    2. Prompt 2: “Enchanted Orchard Retreat”

    In a magical forest glade, an ancient tree stands tall, adorned with enchanting lanterns and whimsical mushrooms. On a branch, a plump squirrel savors a succulent, ruby-red apple. The surrounding air is filled with an ethereal glow as tiny, luminescent fairies flutter around, drawn by the allure of the delectable feast. The squirrel’s eyes sparkle with delight, and a sense of tranquility pervades the scene, inviting you to step into this enchanting realm.

    3. Prompt 3: “Nature’s Bountiful Palette”

    On a sunlit branch of a magnificent tree, a charismatic squirrel indulges in a crisp apple, while nature’s colors explode around it. The tree displays a mesmerizing palette of vibrant leaves, ranging from vibrant greens to fiery oranges and rich maroons. The golden rays of sunlight highlight the squirrel’s intricate fur patterns, as it relishes the juicy fruit. The scene exudes a sense of abundance and natural beauty, inviting you to immerse yourself in this picturesque woodland moment.

    Now, please choose one of the prompts by using the [pX] command, where X is the number of the selected prompt.

    ChatGPT Response after Midjourney Prompt Generator Mode is Ready
    ChatGPT Response after Midjourney Prompt Generator Mode is Ready

    Now this is extraordinary. Remember that the prompt that I used is quite an ordinary one such as “A squirrel sitting on a tree branch eating an apple”, but what chatGPT came up with is 3 detailed and specific prompts that I could not have thought of. However, if you don’t like any of these three prompts, you can enter [next] for chatGPT to generate new prompts for Midjourney which you can use for your image generation. Here is what ChatGPT came up with next:

    You can choose any of these prompts to get started with your Midjourney project and use the [good], [bad], etc. to give feedback on generated images on the Midjourney platform. You can also use [help] and [change] options for user input options and to change the description of the image respectively.

    ChatGPT is based on OpenAI’s Generative Pre-Trained Transformer, which is a powerful tool enabling it to understand conditional inputs as complex as mentioned above, binding it to act in a set of inputs and outputs.

    Apart from that Midjourney’s Discord platform is where you join a community of Midjourney users, view a lot of Midjourney-generated images, and learn about more cool Midjourney prompts as well.

    Turn ChatGPT into a Powerful Midjourney Prompt Machine

    Conclusion

    Look, Midjourney is an incredible, incredible tool and the possibilities with it are endless as one can generate almost any form of artform, enhance existing images and merge multiple images to create a new form of art altogether with this one heck of a capable platform. However, it is important to understand that there is a thin line between inspiration and plagiarism, and many of the artists have openly criticized tools like Midjourney and even accused the platform of stealing the creative work of artists and creators – and even diminishing the territories of privacy – something that is often associated with visual content. All we want to say is that use it, but use it wisely and know what you create without stepping into someone else’s intellectual property, art, and years of hard work that goes into the same.

    FAQs

    Is Midjourney a free-to-use tool?

    Currently, you can’t use Midjourney for free, but, you can join the Beta, an invite-only group.

    How can ChatGPT help with the Midjourney prompts?

    To get ChatGPT to help you with Midjourney prompts, you can feed it with some information about Midjourney and how it uses prompts so that it can generate some cool prompts for you.

    Is there any other platform to learn about Midjourney prompts?

    Midjourney’s Discord platform is where you can join a community of Midjourney users, view a lot of Midjourney-generated images, and learn about more cool Midjourney prompts as well.

  • Embracing the Future: How AI is Set to Change Job Requirements Across Different Sectors

    This article has been contributed by Sumit Sabharwal, CEO, TeamLease HRtech.

    Our working practices are being redefined by current advancements in AI technology. Generative AI products for text, photos, audio, and videos have become available over the last few years. The numerous generative AI tools for creating various types of content include ChatGPT, Dall-E, PlayHT, and Descript, to name just a few. Numerous firms are using these goods to quickly and effectively speed up their operations because they are more widely available and because of the fierce competition among them, which keeps prices low. The demand for workers who can use these electronic goods proficiently develops along with adoption. The job market landscape is changing as a result of the ongoing development of artificial intelligence.

    Let us discuss how AI is set to change job requirements across different sectors.

    Human Resources
    Marketing
    Finance
    Operations

    Human Resources

    The Human Resources division relies heavily on text content for day-to-day operations. Job descriptions, employee contracts, handbooks and policies, training materials, employee communications, legal and compliance paperwork, etc. must all be written by HR professionals. With the use of text-generating AI systems, all of these content requirements can be met. The key difficulty, however, is choosing the appropriate prompt so that the information generated properly satisfies the task’s requirements.

    For this reason, businesses will require HR specialists who can produce suggestions swiftly and effectively.

    In the future, generative AI will be integrated into various HCM platforms. Employers will feed generative AI-enabled HCM platforms with their proprietary data, which HR experts will then analyze to forecast attrition, the need for employee engagement activities, and other factors. More HR professionals will need to learn about generative AI technologies as AI continues to permeate the HR IT sector.

    Marketing

    The fundamental prerequisite for marketing to work is content. No marketing endeavor, including advertising, social media, email marketing, and content marketing, is possible without content. Compared to HR, the marketing department’s content needs are far more varied. In addition to text, marketing also requires assistance with graphics, videos, and audio. Therefore, marketing professionals must be adept at employing all varieties of generative AI tools.

    To accelerate their research, content writers must be skilled at crafting the appropriate triggers. Graphic designers and social media marketers will need to hone their abilities in the area of quick artistic inspiration generation for the purpose of creating fresh design concepts. AI tools that generate images from word prompts will be used for this. For animations, voiceovers, and other purposes, video creators would also need to learn AI techniques. In order to hire marketing personnel with these talents, businesses will do so.

    Finance

    Another industry where AI will affect employment needs is the finance sector. An organization’s financial operations, including responsibilities like financial analysis, budgeting, forecasting, financial reporting, and risk management, are managed by the finance department. These duties include evaluating financial data, keeping an eye on cash flow, making sure regulations are followed, and making smart financial decisions. The volume and complexity of financial data, time-consuming manual processes, and the requirement for accuracy in financial reporting are just a few of the difficulties faced by finance professionals. For instance, producing thorough financial reports and manually analyzing massive datasets can be time-consuming tasks subject to human error.

    With generative AI’s assistance, these problems can be solved. Insights for forecasting and risk assessment can be obtained through generative AI technologies, which can also automate data analysis and expedite financial reporting procedures. As an illustration, a financial analysis tool driven by AI can quickly analyze a large amount of financial data. Financial analysts can use generative artificial intelligence (AI) to analyze and spot patterns and trends that could have gone unnoticed by providing generative AI with raw financial data and the key performance indicators (KPIs) they want it to use.

    Financial professionals must have the knowledge and abilities required to apply generative AI to their company’s data sets because it has the potential to revolutionize their line of work. It becomes crucial for finance professionals to be proficient in using a variety of analysis tools and algorithms since doing so can help them make accurate predictions and well-informed judgments on budgeting, investments, and financial strategy.

    Operations

    The production and distribution of goods and services inside an organization are managed and optimized by the operations department. This calls for activities like logistics planning, inventory management, production scheduling, supply chain management, and quality assurance. However, locating bottlenecks, accurately predicting demand, and maintaining high levels of productivity and efficiency are difficulties that operations professionals frequently encounter.

    Operations professionals can overcome these obstacles with the help of generative AI. Generic AI solutions can discover inefficiencies in the production process, optimize inventory management, and enhance supply chain operations by analyzing massive datasets. Operations teams may more effectively plan production schedules and allocate resources when using AI algorithms, which can estimate demand accurately by, for instance, analyzing past sales data and outside influences. By spotting patterns and abnormalities in manufacturing data, generative AI may also improve quality control procedures and guarantee high product quality.

    Operations experts must develop the appropriate skills in order to benefit from generative AI. They should become knowledgeable about how to use and comprehend the insights produced by AI tools. In order to create and implement customized AI models that are catered to certain operational demands, collaboration with data scientists and AI specialists becomes essential. Operations personnel can improve their decision-making skills, streamline processes, and raise operational effectiveness by learning about generative AI.

    In conclusion, the use of AI technologies is growing and is expected to continue growing in the future. To increase their productivity, a number of corporate sectors, including marketing, finance, operations, and others, need to adopt these solutions. The significance of learning AI abilities must be understood by professionals in every industry. They will be better able to adapt to the changing market, contribute to the success of their organizations, and successfully negotiate the shifting technology landscape if they add AI proficiency to their skill set.

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  • The Rise of Data-Driven HR: How Generative AI is Transforming Decision-Making

    This article has been contributed by Sumit Sabharwal, CEO, TeamLease HRtech.

    Generative AI is bringing enormous efficiencies to most business processes. Departments like HR, Marketing, Finance, Sales, etc. are leveraging it to meet their content needs. Many companies are also exploring how they can utilize technology integrations with generative AI to deliver a personalized user experience. If used effectively, generative AI can take business process automation to new levels. While this rapidly evolving field of technology is transforming many operations, we shouldn’t ignore its utility in various types of decision-making as well.

    Generative AI tools are fed with humongous amounts of data during their development stage. It means these tools are knowledge banks of a vast array of topics, and we can utilize them to get crisp information for better decision-making. Let’s have a look.

    Business Advice
    Creative Decisions
    Data Analytics
    The Impact on Human Resource Management

    Business Advice

    Generative AI tools like ChatGPT are apt for seeking business advice for decision-making. It is so because these tools are trained on a diverse range of data from knowledge sources like business books, research papers, case studies, historical events, etc. Such a training process helps them acquire a comprehensive understanding of business concepts, strategies, and principles. They can work like a highly knowledgeable professional who has extensively studied business, almost like having an MBA in nearly every stream.

    By incorporating the knowledge and insights from numerous sources, generative AI tools gain a deep understanding of various business domains such as human resources, finance, marketing, operations, and more. They can provide valuable advice, suggest effective strategies, and offer informed perspectives on a wide array of business challenges. Whether we need guidance on hiring decisions, employee skill development, workforce planning, or any other business-related topic, they can be a valuable tool to help us make informed decisions for our businesses.

    Creative Decisions

    Generative AI is a valuable tool for assistance in making creative decisions while creating content. Firstly, it can aid in idea generation by proposing fresh and innovative concepts that may have been overlooked. The inputs stimulate creativity and help us explore new approaches. Secondly, generative AI can enhance content creation by offering suggestions, alternative phrasings, and even assisting with storytelling. In other words, generative AI can provide artistic inspiration for better creative decisions.

    Generative AI tools can promote collaboration between creators while they are making creative decisions. They can act as a virtual brainstorming partner, offering diverse ideas and prompting discussions. This collaborative aspect fosters creative decision-making and encourages the exploration of multiple perspectives. Generative AI also enables style transfer and adaptation by transforming content or design elements to fit different styles or contexts. It allows businesses to experiment with various creative approaches and adapt to specific target audiences. The feedback loop provided by generative AI tools facilitates the continuous enhancement of the creative decision-making process. The HR department can also use generative AI for creative decisions related to employee engagement and communication-related activities.

    Data Analytics

    Generative AI tools give human-friendly responses to our queries by analyzing the data they’ve been trained on. Machine Learning and Natural Language Processing make it possible to form responses that are easy to understand, even for the layman. While popular generative AI tools are mostly used for general purposes, training the language model on specific data can help us build highly intuitive data analytics tools. Advanced implementations of generative AI can make predictive analysis better. Businesses would be able to feed their large datasets to find patterns in consumer behavior and make appropriate strategies.

    User-friendly data analytics can have a lot of advantages for a business. It can make data-driven decision-making possible for every department within a short span of time. For instance, HR can use it to predict workforce requirements, the Marketing department can use it to find out the most impactful methods of engaging the target audience, the Operations department can use it to optimize routine tasks, and so on.

    The Impact on Human Resource Management

    Generative AI can play an important role in HR decision-making. Its integration with HCM platforms can help HR managers in the hiring process by assisting with the right questions during interviews, suggesting the right job descriptions for an opening, and assigning roles and responsibilities. For performance management, it can help with performance review templates, developing KPIs, addressing performance issues, and planning employee development. The capabilities of generative AI can help organizations increase employee engagement, satisfaction, and retention by making the HR department highly responsive toward their employees.

    Conclusion

    In conclusion, generative AI can bring significant efficiencies to various business processes, including Human Resource Management. Moreover, the utility of generative AI extends beyond operations to decision-making. Its expertise in vast domains can be leveraged for informed decision-making. Decisions related to recruitment, skill development, workforce planning, and other critical business aspects can also benefit from this technology. Its intuitiveness can promote a data-driven approach in HR and other departments of the business. Lastly, the integration of generative AI with HR management platforms can enhance the hiring process, performance management, and overall employee engagement and satisfaction. The transformative impact of generative AI on businesses can be vast, enabling better decision-making processes and driving success in today’s dynamic and competitive landscape.

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  • How to Use ChatGPT for Social Media?

    ChatGPT is the new tool on the block that social media enthusiasts are in love with. While people who use Twitter, Facebook, and Instagram have been copying quotes, sayings, and cool phrases by searching on the internet to make their social media posts a bit interesting, not to mention the book quotes and quoting random Greek philosophers, some out of context and some for the fun of it, this new artificial intelligence can do much more than that. See, being a generative AI, ChatGPT can not only give the quotes you want off the web, but it can also inspire that little creative writer inside you and help you create original, meaningful captions for social media.

    OpenAI, a company that is highly involved in artificial intelligence (AI) and deep learning research and development, launched (on November 30, 2022) the coolest and most capable program named ChatGPT, a generative AI chatbot that is capable of generating human-like text, content writing and producing creative content when prompted by the user. It was so useful! I am saying useful cause usefulness is what drives any product in this age, that it grossed 1m users in its first five days of launch and 100m users by January 2023.

    Even Instagram took 2.5 months to achieve its first 1m users.

    With global smartphone penetration presently standing at 67% and a significant amount of their valuable time on smartphones, marketers, and advertisers are now focused on creating ads and marketing campaigns directed especially at small screens, i.e., the mobile and ChatGPT can help.

    A McKinsey Global Survey on state AI adoption concluded, “In 2017, 20 percent of respondents reported adopting AI in at least one business area, whereas today, that figure stands at 50 percent, though it peaked higher in 2019 at 58 percent.”

    And with ChatGPT and ChatGPT Plus making headlines with their content–creating capabilities, more and more businesses in various areas are looking to adopt AI in some way or another.

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    Let’s See How You Can Use ChatGPT For Social Media:

    Research And Trend Analysis
    Generating Unique Marketing Campaigns For Social Media
    Personalize Social Media Content
    ChatGPT For Social Media Marketing

    Research And Trend Analysis

    Marketers and advertising agencies can use ChatGPT to research the latest trends and news about the product or service they want to market. ChatGPT can be used to get a summary of the latest developments regarding a particular product and how customers are inclined toward that product.

    When it comes to social media marketing, research and trend analysis can be done effectively with a generative AI like ChatGPT. You can analyze social media data to track trends, identify influencers, and measure the effectiveness of your marketing campaigns and how people reacted to them.

    ChatGPT can be leveraged to research what products people are interested in and how they interact with sellers and vendors. By analyzing local or national news on a particular product or service, people can strategize and focus more on what people need and want.

    Generating Unique Marketing Campaigns For Social Media

    The AI Chatbot can also be used to develop unique marketing ideas and campaign slogans, themes, and titles. It can help advertisers and marketers use the time to plan the crucial aspect of the campaigns and can help create a wireframe.

    Apart from that, it can provide you with creative content as well, but you have to tailor it to match the theme and target of the campaign.

    Someone rightly pointed out that generative AI can be an assistant at best (well, Satya Nadella, the Microsoft CEO, called the Bing AI your Copilot), so why not use it as an assistant?

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    Personalize Social Media Content

    ChatGPT could generate ad copy tailored to a specific audience, ensuring that the ad is more effective and reaches the right people.

    An Ad and Marketing company could use ChatGPT to personalize social media content for different audiences. This can be done using demographic information, interests, and other factors to generate relevant and appealing content for each audience. Marketers could use ChatGPT to create different versions of a post for different countries or regions to ensure that the content is relevant to the audience more likely to be engaged.

    ChatGPT For Social Media Marketing

    Well, once you have created something, be it a small advertisement or a targeted marketing campaign, it is time to market it to the right audience.

    So how do you go about that, and how can ChatGPT help?

    As a generative AI, ChatGPT can help you analyze the trending social media platform and give pointers on how you can approach this.

    ChatGPT can provide you with a list of trendy tags and captions. If your ad campaign is less text and more visuals in the form of images, Instagram and Pinterest could be the better platform. If it is textual, you can post it on Reddit and Twitter. With the help of ChatGPT, you can find trending groups and space to market your ad.

    Apart from that, ChatGPT can also help people with microblogging sites and posting creative content, and growing their follower count. People like you, me, celebs, politicians, and others can use ChatGPT to post better tweets. It can help you with witty and relevant replies and help you engage better with your followers.

    On Instagram, you can use this great tool to come up with witty or quirky captions, as per your taste, and hashtags to enhance your engagement and grow your followers. The same goes for Reddit and other social media platforms such as Facebook.

    Talking about politicians and celebs, a politician can use ChatGPT to tweet better tweets relevant to current events and reach their audience. This will not only enhance the prospects during crucial elections but will also ensure that voters know who they are voting for.

    For example, consider this tweet by former Alaska Governor Sarah Palin, who was mocked for her made-up word ‘refudiate’ —

    ”Ground Zero Mosque supporters: doesn’t it stab you in the heart, as it does our throughout the heartland? Peaceful Muslims, pls refudiate”

    -@sarahpalinusa, July 18, 2010

    She followed up with:

    ”Refudiate,” ”misunderestimate,” ”wee-wee’d up.” English is a living language. Shakespeare liked to coin new words too. Got to celebrate it!

    -@sarahpalinusa, July 18, 2010

    Here is a tweet by former United States President Donald J. Trump that makes you think over your tweets and other social media posts and not post toxic content. ChatGPT can surely help you rephrase your thoughts and be creative.

    ”Obama just endorsed Crooked Hillary. He wants four more years of Obama- but nobody else does!”

    -@realDonaldTrump, June 9, 2016

    You can also use ChatGPT to write long blog posts on blogging websites such as Medium and Substack, where a subscription option is also available. Using ChatGPT wisely and effectively (again… as an assistant and not a writer), you can create valuable, informative, and trustworthy content that engages more people and makes you rich (well, it’s possible!).

    Conclusion

    In essence, whether social media posts or social media marketing, ChatGPT, and other generative AI tools can help you write better, creative, and informative content to create engaging and effective ad campaigns. You can use ChatGPT for research and analysis, thereby, personalizing social media posts or marketing campaigns to engage the kind of audience you wish to target. From social media captions to replies, comments, and hashtags, ChatGPT got your back.

    FAQs

    What is ChatGPT?

    ChatGPT is a generative AI chatbot that is capable of generating human-like text, content writing, and producing creative content when prompted by the user.

    How can you use ChatGPT for social media?

    ChatGPT can be used for social media for:

    • Research And Trend Analysis
    • Generating Unique Marketing Campaigns For Social Media
    • Personalize Social Media Content
    • Social Media Marketing

  • How to Use ChatGPT to Write a Blog Post?

    For the past few months, ChatGPT has been the talk of the town. From office colleagues talking about ChatGPT and how Artificial Intelligence is coming for their jobs to dinner table talks to how ChatGPT has made lives so easy— mainly school children who are often late to submit their homework and essays.

    When Google first announced its most ambitious project, the new Bard AI, it was found that it made a significantly factual error about the James Webb telescope capturing exoplanets which were incorrect. This blunder cost Google’s parent company, Alphabet, to lose 9% of the market cap, nearly 100B dollars wiped off the market in February 2023. From aiming to become the “AI first” company to lagging and playing catch up with some of the prominent players in Artificial Intelligence, Google is raising brows.

    Google’s bard sometimes conjures up fake facts, and ChatGPT is not impervious to the same either. On several occasions, ChatGPT is also found making up bogus data if it was instructed to focus on data.

    This is unacceptable, but what can be done about that? The simple answer is that you, the user, must be careful and mindful to know what the truth is and what is a farce.

    ChatGPT is truly a revolution. The OpenAI CEO, Sam Altman, says that ChatGPT was a pivotal moment for AI, and he might just be right. ChatGPT is a remarkable invention in the field of AI and ML. Notably, decades of hard work have gone into the transformer structure powering the AI chatbot. It is based on the GPT-3.5 model but finetuned to respond well to conversations. It can understand natural language and respond the same way. ChatGPT can generate text, write emails and creative content like poems and codes, and produce summaries of any historical event when prompted. But I must point out that any Large Language Model (LLM) is just as good as the dataset it has trained on. So, it cannot be ruled out that the answer won’t be biased one way or the other, especially on critical issues such as race, gender, and political happenings.

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    Using ChatGPT To Write A BLOG
    Use ChatGPT To Research Your Topic
    Ask ChatGPT To Create A Wireframe
    Fact-check The Facts That Seem Odd At ChatGPT
    Make Your Blog SEO-Friendly At ChatGPT
    Conclusion

    Using ChatGPT To Write A BLOG

    If you are thinking about using ChatGPT to write a blog post that is well structured and SEO (Search engine optimization) friendly, there are specific points you must keep in mind.

    Use ChatGPT To Research Your Topic

    What do you do when you think about writing a blog on a particular subject? You do your research and familiarize yourself with the context and the topic. You read a few articles, gather facts, and try to create a structure and a story. Now you can do all that with ChatGPT as well. It will act like your personal assistant if you treat it like one. With simple commands/ prompts like “Who was Picasso and what paintings did he make in his lifetime?” and “Describe the paintings (a series) titled ‘The weeping woman?”, etc. you can gather enough data and facts about Picasso, Picasso’s paintings, and the story behind “The weeping woman” in particular. You will know that the weeping woman was Picasso’s mistress and his muse, Dora Maar. Those paintings were created by Picasso in response to the bombing of Guernica in the Spanish Civil War, and thus are closely associated with the iconography in his painting, Guernica.

    But while you research your blog title and gather crucial facts to make your blog informative and of substance, you must be mindful of the facts. You must carefully fact-check such facts which you don’t personally know so that you don’t spread misinformation/disinformation.

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    Ask ChatGPT To Create A Wireframe

    While writing something, even as simple as a blog post, people often stray from the direction they had in mind before starting the writing process. And as it happens, many struggle with a good start. But first, what should be a good start? Well, you can ask ChatGPT to create a wireframe for you or ask, “Write a blog on xyzxyzxyz” and it will most certainly write one for you, and you can pick some points to start your wireframe and your own story. I must mention at this point that ChatGPT cannot write a good blog post, and you have to do that for yourself. And there are many reasons for that.

    First of all, it doesn’t come with emotional intelligence, so the post would often be bland and direct. While direct is not bad, I like direct blog posts, but they must have some personal human touch that we humans crave because, believe it or not, AI is not a good storyteller or creator.

    Secondly, context! As it happens, ChatGPT will miss your context and the direction you want it to head. Also, ChatGPT is limited by its training dataset. So, what if it has trained on 570GB of a dataset of text and codes and nearly 6B parameters? Its dataset is in the past as well. Self admittedly, ChatGPT cannot answer about post-2021 events like the FIFA 2022, Qatar, or 2022 US Open or the recently held Superbowl, where Rihanna set the stage on fire with her jaw-dropping performance.

    Fact-check The Facts That Seem Odd At ChatGPT

    Yes, I warned you about inaccurate content that LLMs will produce sometimes, but you can always fact-check. On ChatGPT itself, if you ask it to fact-check a particular statement it fabricated, it might admit the mistake. And correct the same.

    You must fact-check on other popular sources as well, just so your content is factually correct and doesn’t become misinformation.

    Make Your Blog SEO-Friendly At ChatGPT

    SEO Friendly Blog
    SEO Friendly Blog

    You can also use ChatGPT to make your blog post SEO-friendly. For those who don’t know what SEO is and how it works— know that Google ranks your content once published based on EAT, which is expertise, authoritativeness, and trustworthiness. So, make sure you focus on all the three. Apart from this, use ChatGPT to do keyword research and list relevant keywords that match your blog topics. You can also ask ChatGPT to create embeddable elements and enhancements to make your content more linkable, thus allowing it to enhance the content rating on Google.

    Additionally, you can also ask ChatGPT to do content clustering, which will help the Google Search Engine to analyze your content better and rank higher.

    Conclusion

    To conclude, it is good that you use ChatGPT to write blog posts, and you can use the tips and tricks mentioned above but always focus on the context, facts, and personal touch, which AI LLM will most likely fail at. Use ChatGPT wisely and use it as an assistant rather than a writer.

    FAQs

    What should a blogger keep in mind while using ChatGPT for writing a blog?

    There are a few specific points that a blogger must keep in mind while using ChatGPT for writing a blog. The blogger can use ChatGPT to:

    • Research The Topic
    • Create A Wireframe
    • Make The Blog SEO-Friendly

    What are the limitations of ChatGPT in blog writing?

    There are a few limitations of ChatGPT which are as follows-

    • ChatGPT cannot write a good blog post
    • It doesn’t come with emotional intelligence
    • It is not a good storyteller or creator
    • ChatGPT will miss your context and the direction you want it to head.
    • ChatGPT is limited by its training dataset

  • How to Supercharge Your Email Marketing With ChatGPT?

    It has been a constant struggle for businesses to ensure that their products and services reach the correct consumer base. In the past few decades, with the advent of the internet and social media platforms like Facebook, Twitter, Instagram, etc., the marketing and advertising industry has changed completely. We can see a paradigm shift from television and billboard advertisements to ads on little screens on our hands that we’re using for a significant amount of time. Smartphone penetration across the world is at avg. 67% (2021), and with 8B people on this earth, it is a compelling medium to target your ads and marketing campaigns. Businesses know this, marketers know this, and advertising agencies know this very well.

    There are several ways you do this when it comes to ads and targeted marketing campaigns. From traditional billboards to brochures to email and digital marketing, options are abundantly available.

    Email marketing is a significant one. It is a powerful tool as businesses can use to reach their target audience, build relationships with customers, and drive sales. It is one of the most effective marketing channels, with a high return on investment (ROI).

    Why Do You Need Email Marketing?
    Where Does ChatGPT Come Into Play?
    Conclusion

    Why Do You Need Email Marketing?

    Well, email marketing is a powerful tool that can help businesses in achieving their marketing goals. It is an effective tool when it comes to acquiring new customers, generating leads, re-engaging lapsed customers, and driving sales. It can be used to target people who have visited your website or signed up for your newsletter. Sending out emails that provide value and keep them engaged with the brand can help convert leads into customers and remind lapsed ones about the business. In addition, emails promoting products or services, along with discounts or incentives will help drive sales too. Furthermore, email marketing helps build relationships with existing customers by providing them value to create a loyal customer base which is essential for any business’s success. All you gotta do is gather loads of emails and design targeted ads marketing campaigns (which again can be done in plenty of ways) and directly deliver them to consumers’ inboxes. People readily subscribe to email newsletters, significantly making the whole thing easier.

    Where Does ChatGPT Come Into Play?

    As you must know by now, ChatGPT is a generative AI Chatbot developed by a San Francisco, California (USA) based company named OpenAI, which is actively involved in Artificial intelligence and Deep learning research and development.

    In November 2022, OpenAI launched ChatGPT to the public. Since ChatGPT is capable of generating human-like texts, and creative content, helping you write poems, editorials, ad slogans, marketing quotes, and more, it has become the fastest-growing technology in recent times. So popular that it took only five days to gather 1m users worldwide since its launch in November, and by January, it had 100M users— that is some record-breaking numbers. To put this into perspective, even Instagram took 2.5 months to gather 1m users.

    OpenAI’s ChatGPT is based on its large language model (LLM), the GPT-3. GPT-3, short for Generative Pre-trained Transformer -3, empowers ChatGPT to understand natural language better and generate human-like responses.

    When it comes to using ChatGPT in email marketing, here are some of the ways you can go about that:

    Firstly, you need a successful email marketing plan which includes segmentation and personalization. Segmenting your email list allows you to send more targeted and relevant emails to your subscribers. This can help you improve your open rates and click-through rates, whereas personalizing your emails with the names of your subscribers is a great way to make them feel like you are speaking directly to them, thereby improving your open rates and click-through rates. Using ChatGPT for precisely this purpose is what you need.

    ChatGPT can help with analyzing customer data, such as purchase history, browsing behavior, and demographic information, to identify patterns and trends. You can use this information to create segments of customers with similar interests and needs.

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    Take a retail clothing store, for example. A clothing retailer could use ChatGPT to analyze customer data to identify segments of customers who are interested in different types of clothing. The retailer could then create personalized email campaigns for each, featuring relevant products that fulfill the interests of each segment.

    Here’s what ChatGPT came up with when I asked it to ‘Write 5 personalized email marketing pitches which I can use as a clothing retailer?’

    Welcome Offer

    Subject: Welcome to [Your Clothing Store Name]! Enjoy 15% off your first purchase!

    Hi [Subscriber’s Name],

    Welcome to [Your Clothing Store Name]! We’re thrilled to have you as part of our fashion-forward community. To celebrate, we’re offering you an exclusive 15% discount on your first purchase.

    Explore our latest collection of trendy apparel, from stylish dresses to chic accessories. With our handpicked selection, you’ll find the perfect outfits for any occasion. Simply use the code “WELCOME15” at checkout to claim your discount.

    We can’t wait to see you rocking our fashion-forward pieces. Happy shopping!

    Personalized Recommendations

    Subject: Your Style, Your Way: Discover Outfits Handpicked for You!

    Hi [Subscriber’s Name],

    At [Your Clothing Store Name], we believe that style is personal. That’s why we’ve curated a collection of outfits tailored just for you! Based on your previous purchases and preferences, we’ve selected these pieces we think you’ll love.

    • [Item 1]: Perfect for a night out, this little black dress is both elegant and versatile.
    • [Item 2]: Stay on-trend with our statement leopard print jacket, a must-have for every fashionista.
    • [Item 3]: Elevate your everyday look with our comfortable yet stylish high-waisted jeans.

    Explore these handpicked recommendations by clicking the links above. We’re confident they’ll reflect your unique style and help you stand out from the crowd.

    And ChatGPT outdid itself with this one:

    Style Inspiration

    Subject: Get Inspired: Discover this Season’s Hottest Trends!

    Hi [Subscriber’s Name],

    Looking for some style inspiration this season? We’ve got you covered! Our team of fashion experts has handpicked the hottest trends that will have you turning heads wherever you go.

    • Trend 1: Statement Sleeves: Embrace drama and sophistication with tops and dresses featuring bold and voluminous sleeves.
    • Trend 2: Athleisure Chic: Elevate your casual looks with comfortable yet stylish athleisure pieces that effortlessly transition from workout to the street.
    • Trend 3: Floral Frenzy: Embrace the beauty of nature with vibrant floral prints, perfect for adding a touch of freshness to your outfits.

    Explore these trends and more on our website, where you’ll find a wide range of clothing options to match your style. Let’s make this season your most stylish one yet!

    Happy styling!

    You get the idea, right?

    ChatGPT Email Writing and Newsletter Creation 📚 Tutorial for Beginners 💻

    If you are running a travel company, segmentation, and personalization will help there too. You could use ChatGPT to analyze customer data to identify segments of customers who are interested in different types of travel and then create personalized email campaigns for each, then create personalized email campaigns, featuring relevant products that fulfill the interests of each segment.

    Additionally, ChatGPT can automate email marketing tasks, such as sending out emails, tracking opens and clicks, and analyzing results, saving businesses time and resources, which can be used to focus on other marketing activities.

    On top of that, ChatGPT can also help with initial research. Data is everything, and it can help you gather data. It can collect relevant data about your subscribers, such as their preferences, purchase history, or interactions with your website. This data will help you personalize your email content and make it more relevant to each recipient. Then, it can also determine the objectives you want to achieve through your email marketing campaign. Whether it is driving sales, increasing engagement, or providing customer support, it can clarify your goals to guide your email content.

    ChatGPT can help you with monitoring the effectiveness of your marketing campaigns as well. It can help you get a picture of metrics and show you what is working and what is not. Based on the insights gathered, it can continuously optimize your email marketing strategy. It can also make adjustments to the model’s training data, refine your email templates, and experiment with different approaches to maximize the effectiveness of your campaigns in the long run.

    Conclusion

    ChatGPT is a great tool to give your personalized input a unique email marketing pitch pretty quickly. If used cleverly, ChatGPT can help marketers and advertisers in every area of the business world. Its creative writing feature allows you to experiment with loads of personalized content and see its impact in real time. You can also use it as a data analytics tool to help you with better insights and create new and effective targeted email marketing campaigns.

    FAQs

    What is Email Marketing?

    Email marketing is a powerful tool that can help businesses in achieving their marketing goals. It is an effective tool when it comes to acquiring new customers, generating leads, re-engaging lapsed customers, and driving sales. It can be used to target people who have visited your website or signed up for your newsletter.

    How ChatGPT can help in Email Marketing?

    ChatGPT can help in –

    • Segmentation and Personalization
    • Analyzing Customer’s Data
    • Automate Email Marketing Tasks
    • Initial Research
    • Monitoring the Effectiveness of Marketing Campaign

  • Mastering the Art of ChatGPT: Crafting Prompts for Exceptional AI Conversations

    Most of you have heard of generative AI and how it can help you with generating content.

    ChatGPT comes atop when creating text-based content because OpenAI’s ChatGPT is quite efficient. However, other generative AI tools can be used to generate text, visual, and audio content, including those developed by Google, as Google just announced in its Google I/O meet held recently.

    Anyway, coming to ChatGPT and creating text-based content using this AI ChatGPT, you must know that it is based on GPT-3 and GPT-3.4 transformer architecture and is well versed and trained with approx 6B parameters that enable it to capture the natural language and process it effortlessly and it does a great job. It understands the assignment.

    You can use it to generate content simply by using simple commands. ChatGPT will create a wide range of content, from human-sounding text responses to create content— poems, prose, imitating celebrity style (someone asked ChatGPT to imitate Joe Rogan, the popular podcast host, and it did so perfectly), and engage in human-like conversations to respond to your queries.

    However, if you want to get the best out of ChatGPT, you must wonder what kind of prompts will fetch good answers cause it happens, the GPT model was not developed for human conversation or an AI chatbot. The GPT model wasn’t made to follow user instructions and then generate content. That is why OpenAI developed InstructGPT first. Not ChatGPT but Instruct GPT, and it worked. Come 2022, OpenAI launched the first ChatGPT model, which was well-suited for human-like conversation where users can give instructions or prompts.

    So now that you can control what you want to know, you can tailor the content to your needs, as it helps if you know how to do that correctly and how to communicate with this ChatGPT AI chatbot effectively.

    So, let’s see, in this post here, how you can optimize your conversation with AI, create effective prompts to guide AI toward what you want to write or understand, and how you can get the most out of AI ChatGPT.

    An Introduction To ChatGPT

    So, most of y’all already know that ChatGPT is currently the most popular AI. There are several reasons for it to be the most prevalent— including that, Google hasn’t delivered its promise to be the ‘AI-first’ company it said it would be. Even though it announced BardAI in early February 2023, it simply hasn’t been that useful.

    Anyways, on November 30, 2022, a San Francisco-based company dedicated to Artificial intelligence and Deep learning research and development launched ChatGPT (short for Chatbot Generative pre-trained transformer), and overnight it became a hit with 1M users in just five days and 100M users by January. People who became hooked on ChatGPT have been asking various queries and generating content that looked like a human had written them.

    That’s the strength of ChatGPT. It can understand natural language very well and respond to queries in a human-text output. From article writing blogs, stories, poems, codes, and jokes, people use ChatGPT for many things. Since it has trained on a vast amount of data, an extensive dataset of 570GB of texts and codes that goes over 6B parameters, it can cover almost any topic from socialism and sociology to politics, physics, and philosophy.

    Users can search for answers to mathematics, English, and science questions— frankly a boon for school-going children and senior students. It is also helpful for grads and Ph.D. scholars while doing research and writing research work. It can act like a human assistant.

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    However, it is limited as being an Artificial intelligence tool, it lacks context and emotional intelligence in its responses. Additionally, its training dataset is limited to 2021— it’s living in the past, saying it has limited knowledge of post-2021 events and happenings.

    Apart from that, its responses are as good as the dataset it is trained on, so be prepared to occasionally encounter some bias on issues like gender, race, and religion, on which people often have mixed understanding.

    Why Do You Need Effective Prompts With Converse To ChatGPT?

    An effective prompt can help you get the most out of any generative AI. Using effective prompts while using ChatGPT for research or asking queries, in general, is vital because it helps to ensure that the model can provide accurate and relevant responses. When you input a clear and specific prompt, you give the model the information it needs to generate a response, tailored to your needs.

    If you ask ChatGPT a general question like “Tell me about ChatGPT”, it will come up with a general answer; something like this—

    “ChatGPT is an AI language model developed by OpenAI. It is part of the GPT (Generative Pre-trained Transformer) series, specifically based on the GPT-3.5 architecture. GPT-3.5 is one of the most advanced language models available as of my knowledge cutoff in September 2021, so there might be newer versions or models released since then.

    ChatGPT is designed to engage in conversational interactions with users, providing responses and information based on the input it receives. It has been trained on a vast amount of text data from the internet, including books, articles, websites, and more, to develop a deep understanding of human language and context.

    The model learns patterns, grammar, and a broad range of knowledge from the training data, allowing it to generate coherent and contextually relevant responses. It can understand and generate text in multiple languages and can assist with various tasks such as answering questions, providing explanations, offering suggestions, and engaging in casual conversation.

    It’s important to note that while ChatGPT strives to provide helpful and accurate information, it may occasionally generate incorrect or nonsensical responses. It also doesn’t possess real-time information or personal experiences beyond its training data.

    OpenAI has made efforts to improve the model’s ethical use and reduce biases. However, biases can still arise from the training data or interactions with users, and OpenAI continues to work on refining these aspects.

    OpenAI has provided access to ChatGPT through various platforms and APIs, allowing developers and users to integrate the language model into applications, products, or services. This enables a wide range of possibilities for utilizing the capabilities of ChatGPT in different domains, including customer support, content generation, and educational tools.

    It’s worth mentioning that as an AI language model, I am an instance of ChatGPT and my responses are generated based on the capabilities of the model up to September 2021.”

    It is so big of an answer. Let’s try tailoring this answer by putting on a limitation— let’s ask, “Tell me about ChatGPT in 5 sentences and no more.”

    Here is what it came up with:

    “ChatGPT is an AI language model developed by OpenAI. It engages in conversational interactions, providing responses based on user input. Trained on vast text data, it understands and generates text in multiple languages. It has diverse applications such as answering questions, offering suggestions, and providing explanations. While efforts have been made to reduce biases, limitations, and potential inaccuracies exist.”

    This is a pretty short and neat answer. It covers a lot of ground and talks about its capability and weakness as well. It also tells you that you have control over what it generates (this is where ChatGPT is different from the first GPT model)

    By using specific prompts that are clear and specific in what you need the AI to look for and by not confusing it with so much ambiguity, it will –

    • Get usable results
    • Reduce the time and effort required to get an information
    • Improve the accuracy of the model’s responses
    • Ensure that the model generates responses that are consistent with your expectations and requirements
    • Ensure that the responses are accurate and relevant
    • Improve the overall quality of the research and queries

    Additionally, using effective prompts can help you ensure that the model can generate responses that are consistent with your expectations and requirements. By providing clear and specific prompts, you are helping to ensure that the model can generate accurate and relevant responses.

    ChatGPT Guide: 10x Your Results with Better Prompts

    Things To Keep In Mind While Writing Effective Prompts

    A prompt is only effective if it gets the job done. It helps you with finding the answer to your query and there are several things you should keep in mind while writing prompts:

    Use Precise And Clear Language

    Make sure your prompts are precise and clear. Avoid long sentences with many subpoints.

    Use Simple And Relevant Words

    Pay attention to word choice in your prompts, use words relevant to the topic you are asking about, and avoid using jargon or technical terms that ChatGPT may not understand.

    Generic Questions Will Produce Generic Responses

    Avoid asking questions with yes/no answers or very general questions (questions like “What is love?” ) – these types of questions often do not produce helpful responses.

    Clarify With Examples If Needed

    You can use examples or scenarios to help clarify your question or prompt. This can help ChatGPT to understand what you are looking for and provide more accurate responses.

    Break It Down Into Smaller Sub-prompts

    Provide it with multiple prompts if necessary. If you have a complex question or topic, it may be helpful to break it down into smaller and specific prompts.

    Set Your Own Rules And Roles

    Provide it a role, and ask it to reply accordingly. If you want an answer about how to cook Italian pasta, prompt it to take the part of an Italian chef and help you cook.

    Here’s an example:

    Prompt: “Assume you are an Italian chef. Now help me cook gourmet Italian pasta.”

    Response: Of course! I’d be delighted to assist you in preparing a gourmet Italian pasta dish. Here’s a simple recipe for a classic pasta dish called “Pasta Aglio e Olio”:

    Ingredients:

    • 350 grams of spaghetti or your preferred pasta
    • 4 cloves of garlic, thinly sliced
    • 1/2 teaspoon red pepper flakes (adjust according to your spice preference)
    • 1/4 cup extra virgin olive oil
    • Salt, to taste
    • Freshly ground black pepper, to taste
    • Grated Parmesan cheese, for garnish
    • Fresh parsley, chopped, for garnish

    Instructions:

    • Cook the pasta in a large pot of salted boiling water until al dente. Remember to follow the package instructions for cooking time.
    • While the pasta cooks, heat the olive oil in a large skillet over medium heat.
    • Add the garlic slices and red pepper flakes to the skillet. Sauté them gently until the garlic turns golden and becomes fragrant. Be careful not to burn the garlic.
    • Once the pasta is cooked, drain it but reserve a small amount of the cooking water.
    • Add the cooked pasta to the skillet with the garlic and oil. Toss everything together to coat the pasta evenly. If the pasta appears dry, add a splash of the reserved cooking water to moisten it.
    • Season the pasta with salt and freshly ground black pepper according to your taste.
    • Transfer the pasta to serving plates or a large serving dish. Garnish with grated Parmesan cheese and freshly chopped parsley.
    • Serve the pasta immediately while it’s still hot and enjoy your gourmet Italian dish!

    Feel free to adjust the recipe by adding your favorite ingredients like sautéed vegetables, cooked shrimp, or sliced cherry tomatoes for additional flavor and texture. Buon appetito!”

    Conclusion

    ChatGPT is a splendid AI tool, but it is only helpful if you know how to use it ethically and responsibly. To get the most out of it, tailor your prompts. Be specific and clear, and do not confuse it with so many instructions, and ambiguity in prompts, that will result in irrelevant and futile responses.

    FAQs

    Why do you need effective prompts to converse with ChatGPT?

    Providing effective prompts help to:

    • Get usable results
    • Reduce the time and effort required to get an information
    • Improve the accuracy of the model’s responses
    • Ensure that the model generates responses that are consistent with your expectations and requirements
    • Ensure that the responses are accurate and relevant
    • Improve the overall quality of the research and queries

    What does one need to keep in mind while writing effective prompts?

    There are several things you should keep in mind while writing prompts:

    • Use Precise And Clear Language
    • Use Simple And Relevant Words
    • Generic Questions Will Produce Generic Responses
    • Clarify With Examples If Needed
    • Break It Down Into Smaller Sub-prompts
    • Set Your Own Rules And Roles

  • How Does Generative AI Search Work?

    Generative AI has created quite a buzz lately, and people are curious. Since OpenAI launched ChatGPT in November last year, it has got 100 million users putting it to good use. And believe it or not, it is doing a pretty good job for the intended purpose. As a generative AI Chatbot trained on a massive dataset of dialogue-based texts and codes, OpenAI’s ChatGPT has captured the attention of literally everyone who is even slightly keeping up tabs on new tech, and it has got 100m users to prove my point.

    So, what is generative AI, how do people use it to search queries, and how does this generative AI search work?

    Well, first thing first. Generative AI is a kind of machine learning (ML) that uses algorithms to create new data from existing datasets of texts, audio, visuals, and codes, that can be used for various tasks such as image generation, text summarization, audio and video generation, and natural language processing. ChatGPT is also a generative AI-based chatbot, capable of having human-like conversations, but way more powerful and efficient than Siri and Google Assistant.

    At present, OpenAI’s ChatGPT is freely available for people to try out the limited capabilities of this generative AI-based conversational tool— but its newer and upgraded version, ChatGPT Plus, is not free. Users can still take a USD 20 subscription plan to use the new GPT-4 (a large language model) based- ChatGPT Plus, which offers larger context as input and can have more extensive and more creative content than its predecessor.

    Microsoft also integrated OpenAI’s GPT-4 large language model customized specifically for search in its Bing Search and launched it as the ‘New Bing’. In a blog post, Microsoft says,

    “New AI Bing is an AI-enhanced web search experience that can provide you with better search, more complete answers, a new chat experience and the ability to generate content.’’

    Microsoft Chairman CEO, Mr. Satya Nadella, on the day of its launch, said that AI would fundamentally change every software category, starting with the largest of all being the search category. He added, “Today, we’re launching Bing and Edge powered by AI copilot and chat, to help people get more from search and the web.’’

    Although, the new Bing search is not yet available for everybody to use as Microsoft is yet to roll it out for everyone.

    For a moment, you’d wonder where is Google— the company which ruled web searches over the past two decades. Well, Google is not behind in this Generative AI race. It’s working on its very own Generative AI chatbot named Bard— based on Google’s large language model, LaMDA (Language Model for Dialogue Applications). Google announced it in its 2021 annual Google I/O meet.

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    Google CEO Sunder Pichai on February 6, one day before the launch of Microsoft’s new Bing AI, introduced Bard in a blog post. “Bard seeks to combine the breadth of the world’s knowledge with the power, intelligence, and creativity of our large language models”, said Mr. Pichai.

    Google says that it aims to bring the benefits of AI into our everyday products, and it isn’t in the race for AI first. Perhaps that is why Google is behind Microsoft and playing catch up, but there are other participants in this AI race tool. Apple Inc. is also working on its own AI model, and so is IBM.

    Search, as we know it, is simply opening our favorite web browser and search engine— Bing, Yahoo, or Google, and typing in the query we want to look for. Sometimes it’s not even a query. We simply type in the word ‘Cat’, and the search engine comes up with a list of websites that it believes have the answer to our questions (the input) accurately. Well, that is how keyword-based traditional search works.

    The generative AI search, on the other hand, is a relatively new technology that uses machine learning and natural language processing to search for information. It works by analyzing large amounts of data and generating new, relevant results based on the input provided. The process involves gathering data from multiple sources such as websites, databases, or social media platforms like Twitter or Facebook. This data is then analyzed using algorithms designed particularly for the task at hand—in this case, digging through vast amounts of information quickly and accurately finding what you are looking for— all without you having manually look through each piece.

    The AI-based algorithm looks at patterns in the text that indicate specific topics are related, thus, helping to narrow down your results even further before presenting them back out again as an organized list with all relevant options included within it.

    The next step involves taking those generated results and running them against various other sources, such as images or videos if necessary; this allows you to get a better understanding of what exactly was found during your initial query process – giving users access not only textual but also visual content when searching online too.

    Finally, once everything has been collected together into one place, then sort these items according to their relevance level – making sure that only the most relevant pieces appear first, and the lesser ones stay towards the bottom part where nobody would bother looking anyway all this while presenting it to you in a human-like output. Well, that’s the gist of it.

    You must understand that the algorithm searches through all kinds of data, be it text, image, audio, or video because generative AI is not just limited to text.

    Ultimately generative AI searches provide you with an efficient way of finding answers quickly regardless you know anything about the topic beforehand or not – allowing you to save time (well, time is money!) while still getting quality output every single time.

    What are Generative AI models?

    Google has, time and again, emphasized that it uses AI (BERT, MUM) to give you quick and accurate results, but generative AI search is quite different from traditional searching. For one, it uses deep learning models instead of keyword-based indexing systems like those used by most popular web browsers today.

    Deep learning models can understand complex relationships between data points within a dataset, allowing them to skillfully understand what users are searching for when they enter their queries into the system. For example, if someone were searching for “Italian restaurants near me” on Google or Bing, these services would typically return listings based solely on keywords entered by the user without considering any additional factors such as location or cuisine preference—but with an advanced generative AI system in place these criteria could be taken into account as well resulting in much more accurate recommendations are tailored specifically to meet per needs.

    Google and ChatGPT
    Google and ChatGPT

    Generative AI Search also allows you to enhance your search results through conversation and generate the relevant answers in a human-like output while providing you with link(s) to the resources it compiled the results from. Another advantage that comes with using an advanced generative AI system over conventional ones is its ability to identify patterns amongst the vast amount of data and produce the most relevant results without requiring you to put too much effort or time into researching your query firsthand.

    Generative AI searches can generate more relevant results than regular keyword-based searches because of their ability to understand natural language queries and return personalized recommendations based on user preferences. Generative AI search would certainly revolutionize web search, but what matters most is accurate and unbiased AI, as the results can only be as good as the training data set. While Microsoft has already launched its New Bing AI and Chat with its enhanced edge web browser, Google is not rushing into the AI race and improving its generative AI-based chatbot Bard.

    FAQs

    What is Generative AI?

    Generative AI is a kind of machine learning (ML) that uses algorithms to create new data from existing datasets of texts, audio, visuals, and codes, that can be used for various tasks such as image generation, text summarization, audio and video generation, and natural language processing.

    How does Generative AI search work?

    The generative AI search, on the other hand, is a relatively new technology that uses machine learning and natural language processing to search for information.

  • What Jobs Will Generative AI Replace?

    It is not the strongest of the species that survives, nor the most intelligent that outlives. It is the one that is the most adaptable to change. That is what Charles Darwin, the nineteenth-century naturalist had said.

    It essentially means that if you are capable of adapting yourself to changing circumstances around you, upskilling yourself, and beating your competitors to the punch, you will most probably survive the generative AI that most people see as replacing their jobs.

    What is Generative AI?
    Why should it have your attention?
    What are the chances that Generative AI will replace you at work?
    What kind of jobs Generative AI will replace?
    The silver lining for Content Writers

    What is Generative AI?

    Generative artificial intelligence (AI) is a type of machine learning that uses algorithms to create new data, such as text, images, or audio, by learning patterns from existing data (or data sets). It’s an AI tool capable of using input data to self-learn and produce better text, images, audio, etc. Well, I wouldn’t say better, but it is pretty good, and is still in development, still learning. Companies like Google Inc., OpenAI, Midjourney Inc., Microsoft Inc., etc. are heavily investing in Artificial intelligence, and it remains to be seen who makes it more interesting, or say, intelligent.

    Why should it have your attention?

    There are plenty of reasons for you to be interested in generative AI, the most prominent one being its creative potential. It can create new content based on its input or practicing data set. It is evolving every day, and its ability to come up with more creative content, be it texts, images, or audio, will only get better with time. But that is not all.

    It has the potential to analyze its responses. It can self-learn. Various generative AI models use multiple techniques— neural networks, deep learning, and reinforcement learning to learn the patterns and relationships in the data. This will open new dimensions in predictive analytics and how businesses can carry out their day-to-day operations.

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    What are the chances that Generative AI will replace you at work?

    When it comes to technology, there are plenty of reports that suggest that technology has, since 1981, displaced workers faster than it has created jobs. Of course, there is significant uncertainty around the future of generative AI as it is still developing. But its ability to produce content that is literally indistinguishable from original/human-made content is concerning for many, and it should be. But on the same note, it is also true that workforce automation and the resulting job losses will be compensated by creating new jobs.

    A report by investment bank Goldman Sachs says that Artificial Intelligence could replace around 300m full-time jobs. It further states that if generative AI delivers its capabilities as promised, the labor market will face substantial disruption.

    So, the chances of generative AI replacing jobs are pretty high, but not all jobs— it cannot cook, for now, so we can rule that out.

    What kind of jobs Generative AI will replace?

    The future of AI’s role in the job market can broadly be put into two categories considering the impact of generative AI in the near- future. Firstly, AI will complement the employees’ work and then will replace the employees. The promised generative AI capabilities are truly charming— a charm that is tempting to companies. Companies always look for ways to reduce labor costs and enhance productivity, and generative AI will provide them with such opportunities.

    The fourth industrial revolution– industry 4.0– is about the internet and AI. Combining the Internet of Things (IoT), cloud computing, simulation, additive manufacturing, predictive analytics, Machine Learning (ML), and Big Data will set the course of Industry 4.0. It is also true that not all businesses are using AI as of now, and most works are only partially exposed to artificial intelligence and automation. With AI adoption, companies will get an opportunity to apply some of their freed-up capacity toward highly productive activities and enhance output.

    So, it is more likely that replaced workers will be re-employed with improved, higher levels of productivity at hand, as well as new emerging job opportunities. The automation-led growth will also create a demand for labor.

    The Goldman Sachs report also highlights two of the most influential Generative AI abilities that will have macroeconomic effects, one being its ability to produce new content that is indistinguishable from the original human-created output and the second being its ability to break down the barriers between machines and humans. Both of these will have a substantial effect on employees and employers around the world.

    People who will be most affected by generative AI are the ones whose work involves web scraping to gather relevant data, preparing a clean data set, making sense of data, data processing, data analyzing, making people understand that information, keeping records or documentation, etc. Additionally, generative AI will positively affect the job market in the field of Content writing and editing, Journalism, Law, graphics designing and music, customer services, data entry, administration, bookkeeping, taxing, insurance and loan approval, etc. Chat GPT and Bard will enable even intermediate-skilled people to write articles and essays unless there is significant demand for such work, journalists and content writers will face severe competition.

    Will ChatGPT Take Your Job?

    The silver lining for Content Writers

    Recently I came across a few articles published by CNET— a tech news site— that used AI to write finance articles like ‘What is compound interest’, ‘Does a home equity loan affect private mortgage insurance?’, and many more. It used SEO-friendly keywords, and Google allowed advertisements on these pages. Futurism highlighted this fact— CNET had been quietly publishing AI-generated articles since November last year without any formal announcement. CNET acknowledged this fact and said that it was not a big deal—  the readers couldn’t understand if the article was written by AI or a human. But the main problem is AI misrepresenting facts. Many articles contained false information, and CNET had to revise them.

    The authorship of the articles isn’t instantly clear when you read the articles, but you will find something like this written in the dropdown description under staff:

    “This article was generated using automated technology and thoroughly edited and fact-checked by an editor on our editorial staff.”

    But CNET is not the first one to do this. Associated Press also started using AI in 2015. America’s oldest, 24h news agency produced 10 times more articles (3000 articles in a quarter) than it used to by using the automation technology at Automated Insights, a firm known for AI and “robot journalism”.

    The silver lining, however, is that AI is still evolving and is not perfect yet. It still makes mistakes on many fundamental topics— finance, polity, and politics. Many people have already pointed out the inability of ChatGPT to write unbiased content when it comes to the Democrats and the Republicans, Donald Trump, and Joe Biden, and even religious figures.

    So, as long as you are a creative, rational, objective content writer or journalist, your job is safe, and you will stand out. Undoubtedly, generative AI will replace some folks at work, but it will also provide a massive opportunity for you to reinvent how you work and hopefully complement your work with added creativity and accuracy. As AI and deep learning mature over time, business productivity will correspondingly improve, resulting in more labor demand and new job opportunities.

    FAQs

    What is Generative AI?

    Generative artificial intelligence (AI) is a type of machine learning that uses algorithms to create new data, such as text, images, or audio, by learning patterns from existing data (or data sets).

    In which fields may Generative AI affect jobs?

    Generative AI will positively affect the job market in the field of Content writing and editing, Journalism, Law, graphics designing and music, customer services, data entry, administration, bookkeeping, taxing, insurance and loan approval, etc.