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Tag: ChatGPT

  • 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.

    ChatGPT Tutorial – How to Create a Profitable Blog with AI

    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.

  • Google’s Bard vs. Microsoft’s Bing Chat: The Clash of Titans and Who May Win

    “AI will fundamentally change every software category, starting with the largest category of all – search,” – Satya Nadella, Chairman and CEO, Microsoft.

    It is no secret that Microsoft’s Bing search engine has always been several steps behind Google’s Search Engine. Somehow it did not click with internet users. One might blame the Bing Search interface or how it brings up results, but you know that’s not it. I mean, Forbes tried to sum it up as, “Google was able to attract much better talent due to its reputation of being a more innovative and a more developer-friendly company, and because of its market position. Bing suffered from the anti-Microsoft sentiment among developers and was unable to attract a similar quality of talent.” Additionally, Google has been around for a longer time and has done incredibly well with its search algorithm.

    However, the wind of change has finally taken a turn for the better- to an age of Artificial intelligence (AI) and more, particularly, Natural language Processing (NLP) and Machine Learning (ML). In an era when Elon Musk and Bill Gates (Co-founder, Microsoft) are significantly investing in ChatGPT, a conversational AI chatbot that is capable of producing long contextual paragraphs on any given topic (provided it is not about criticizing a certain messenger or Joe Biden or praising Donald Trump), whereas Google Inc. is experimenting with Bard.

    Sharing his views on language and AI, Google CEO Sundar Pichai once said,

    “Language is core to who we are as human beings. It’s how we understand the world, express ourselves, and communicate with others. And yet, only a fraction of the world’s languages have a digital presence today. This gap poses a threat to preserving cultural diversity, as well as to the development of AI.”

    This bard is quite different than Celtic poets and composers, known for singing praises for old English kings in the old English era. This Bard is American, based on Google’s LaMDA (Language Model for Dialogue Applications), performs functions just as ChatGPT but relies on the Google Search engine to produce accurate results (it tries), and it is still learning.

    Google’s Bard is “your creative and helpful collaborator, here to supercharge your imagination, boost your productivity, and bring your ideas to life.”

    So, the obvious question is who wins when Microsoft and Google, two business giants have come to take your attention, your time, and probably your money (they say time is money, so let’s go with that)? How do you decide the winner in this modern clash of titans? What parameters should be taken into consideration?

    The Clash of Titans: Bard vs. Bing chat

    When I asked Bard that I wanted to compare these two services– Google’s Bard and Microsoft’s Bing Chat–  what do you think it said?

    Here is what it came up with:

    “Bard is based on Google’s LaMDA language model, while Bing Chat is based on OpenAI’s GPT-4 language model. LaMDA is a newer model than GPT-4, and it is trained on a larger dataset of text and code. This means that Bard may be able to generate more creative and informative text than Bing Chat.

    Bard also offers three different drafts of the same response, while Bing Chat only offers one. This gives you more control over the final response, and it can help you to get the information you need more quickly”.

    Google's Bard
    Google’s Bard 

    Microsoft’s Bing Chat also performed well when I asked the same question:

    Microsoft's Bing Chat
    Microsoft’s Bing Chat

    But what about ChatGPT? One might ask!

    ChatGPT
    ChatGPT

    Google’s Bard Vs. ChatGPT: Who Wins the AI Battle?
    The use of Google’s Bard and ChatGPT depends upon user needs and how one uses these tools, though a careful approach and fact-checking of some facts, is certainly needed.
    StartupTalkyAbira Dutta

    So how do we decide who performed better?

    Well, Google’s Bard replies like ChatGPT (which failed to respond, as seen above). It produces texts, answering your questions with the help of Google’s ‘larger dataset of text and code’– but Microsoft’s Bing Chat answered with the help of resources available on the internet, paragraphically, along with hyperlinks of the websites— it compiled the results from.

    Who wins this Clash of Titans?

    Well, neither Perseus nor Hades!

    Google’s Bard is powered by LaMDA, a language model developed by Google AI, and as a language model, it is still learning. Though it is presumed to provide better results because it uses Google’s large dataset, Microsoft’s Bing Chat, powered by GPT-4, a language model developed by OpenAI, is no less. It has the unique style of producing answers with hyperlinks to web resources which is quite helpful in determining the integrity of the results.

    It still does not answer the question!

    So, I guess, for now, it depends on individual choices and needs. Microsoft or Google can’t force you to use their search engines (or Bard/Bing AI), and you are free to use any of these. Whether you’re a conservative or a (woke) liberal, a humanist or a feminist, a white cis-male or a trans-person of color— you are free to make your own choice.

    The AI Assistant Battle! (2023)

    But what about the future? Who wins this battle in the next few years?

    Since both Google Inc. and Microsoft Inc. are investing heavily in AI research and development, and both companies will continue to make significant progress in the coming years, as one can presume, ultimately, the winner of the AI battle will depend on which company can develop the most powerful and user-friendly AI technology.

    It would probably depend on the capital each company is willing to invest in AI research, its development, and the talent each company can attract to its AI team.

    Both Bard and Bing Chat are performing well. Bard hasn’t been yet launched here in India; however, you can use Bing Chat.

    FAQs

    Which AI Chatbot is better, Google’s Bard or Microsoft’s Bing Chat?

    For now, it depends on individual choices and needs, and you are free to use any of these. Both Bard and Bing Chat are performing well. Bard hasn’t been yet launched here in India; however, you can use Bing Chat.

    How do Google’s Bard and Microsoft’s Bing Chat reply to a query?

    Google’s Bard is powered by LaMDA, a language model developed by Google AI, and as a language model, it is still learning. Though it is presumed to provide better results because it uses Google’s large dataset, Microsoft’s Bing Chat, powered by GPT-4, a language model developed by OpenAI, is no less. It has the unique style of producing answers with hyperlinks to web resources which is quite helpful in determining the integrity of the results.

  • Is ChatGPT a Threat to Search Engines?

    The simplest yet most obvious conclusion would be that it is too early to say whether ChatGPT is a threat to search engines or not. However, we’ll admit that ChatGPT is a powerful tool that has the potential to revolutionize the way we interact with computers. In fact, with the launch of GPT-4, it has done the unimaginable— and, if it delivers on its generative AI capabilities, as promised, it will transform the job market, as reported by Goldman Sachs, an investment bank in the United States.

    ChatGPT And The Hypothesis
    Why Isn’t ChatGPT A Threat To Search Engines?
    The Hegemony of Google Search

    ChatGPT And The Hypothesis

    ChatGPT, developed by OpenAI, is a gigantic language model (LLM) chatbot. It is trained on a massive dataset of text and code and can generate text, translate languages, and write different kinds of creative content. It can answer your questions in an informative way with more context.

    With the creation of ChatGPT and seeing its potential to answer people’s questions in a humanized way, some people now believe that ChatGPT could pose a threat to search engines like Google, Bing, and others. The premise is that ChatGPT can generate text that is indistinguishable from human-written text, and it can answer questions more quickly and accurately than search engines, so what is stopping people from not ever going back to the primitive search engines?

    Another premise is the fact that ChatGPT can create longer, human-like text and that it could be used to create fake news articles, blog posts, and other forms of content that could be used to deceive people on search engines. This is quite true as there was a case of CNET, a prominent technical news website that wrote some AI-generated articles and published them. Google search engine also approved and ranked these articles like it usually does. The problem, however, was that these articles were full of inaccuracies, and most of them had to be revised by human beings.

    One more premise is that ChatGPT can answer questions more quickly and accurately than search engines. This means that it could provide users with the information they need faster and more easily. Moreover, it is still under development— having the potential to become even more influential in the future, it could eventually become an even more reliable and efficient way to find information than search engines.

    If you think about it, many of these premises are quite founded and make a good case. ChatGPT is quite good, and soon in the future, will be even better with its responses. However, there are still a few good reasons to conclude that ChatGPT is not a threat to Search Engines.

    Why Isn’t ChatGPT A Threat To Search Engines?

    Now that we have seen some premises on how ChatGPT can be a threat to Search Engines, let me explain how it is not happening, at least not soon.

    Firstly, ChatGPT is trained on a restricted dataset of text and code, meaning it may not be able to answer questions about topics that are not covered in its training data. After all, it only knows what it has been trained on so far. Even though it is self-learning and it can improve its responses, its training is primitive in comparison to Google Search Engine (or Bing, for that matter). Google has had the hegemony in the web search area for years now and it has access to a massive dataset of text and code, including books, research papers, articles, websites, and other forms of data, which is constantly being updated.

    Secondly, ChatGPT cannot understand the context of a question many times. Although GPT-4 now supports more extended context and can consider about 25000 words as input, it still may not be able to provide the most relevant or helpful answer to a question. Search engines, on the other hand, have access to a much broader range of information than ChatGPT and are better at understanding the nuances of human language. So, a search engine can provide more relevant and helpful search results than ChatGPT.

    And lastly, search engines are pervasive. With smartphone penetration at 70.95% in 2023 in India and 72.17% in the USA in 2021, and 67% in 2021 globally, search engines (especially Google Search) have become the go-to option for searching anything and everything online, like it is natural. Google Search engine has a market share of 93.18%, as per Statcounter. This enormous number tells the story of Google’s hegemony over other search engines. Google launched its Android platform in 2007 and quickly gained traction with smartphone manufacturers willing to use the Android operating system. And now, Google is the most used search engine owing to the widespread use of the Android operating system in most developing countries and the most populous countries.

    Google's Market Share
    Google’s Market Share

    The reason why search engines will remain pervasive and, ChatGPT will not pose a threat is the fact that using search engines comes naturally to people. Every smartphone user, even with little technical knowledge, knows how to use it. Frankly, that is not the case with ChatGPT.

    Google Search Engine
    Google Search Engine

    Besides, the use of search engines and even preference for search engines also got to do with trust. Search engines like Google Search and Bing Search have been around for quite some time and have gained people’s trust. People can effortlessly look for things they need to look for and even verify that from multiple sources on the internet. ChatGPT is relatively new, and most people do not even know about it.

    The last straw is that Google Search and Bing Search are attempting to incorporate AI to help users with better results. Microsoft’s Bing Search is already using GPT-4 LLM in the form of Bing Chat, and Google is launching its AI chatbot named Bard, currently available for use in a few selected countries.

    So, search engines are not going anywhere and will remain the first choice for connecting people worldwide to the internet– as always. Sure, ChatGPT is quite helpful and fascinating to use. It is also quite creative with its responses and will complement many people’s works, but it is not a threat to search engines.

    FAQs

    What are the few premises that people have started to believe that ChatGPT might be a threat to search engines like Google, Bing, etc.?

    Below are a few premises that people have started to believe that ChatGPT might be a threat to search engines like Google, Bing, etc. –

    • ChatGPT can generate text that is indistinguishable from human-written text, and it can answer questions more quickly and accurately than search engines
    • ChatGPT can create longer, human-like text, and it could be used to create fake news articles, blog posts, and other forms of content that could be used to deceive people on search engines
    • ChatGPT can answer questions more quickly and accurately than search engines

    Why isn’t ChatGPT a threat to search engines?

    • ChatGPT is trained on a restricted dataset of text and code, meaning it may not be able to answer questions about topics that are not covered in its training data
    • ChatGPT cannot understand the context of a question many times
    • Search engines are pervasive

  • ChatGPT in Numbers: 20 Impressive Statistics and Insights

    Did you know that before ChatGPT, there was an InstructGPT?

    Even though it seems like ChatGPT is an overnight success with over 100 million users in January 2023 ever since its launch on November 30, 2022, by San Francisco–based OpenAI Inc.– but it is built on the hard work and research of decades. Just 5 days after it was launched, ChatGPT managed to cross 1M users— a record of its own.

    ChatGPT is an extensive language model (LLM) designed to converse. It is capable of natural language processing and understands rhetorical questions and sarcasm. It is a generative AI and can learn from its response. The reasons behind chatGPT’s success are many. Firstly, it is incredibly easy to use. Anyone can type in a question or request, and ChatGPT will respond quite naturally and in an informative manner. It will seem like you are talking to a human. Secondly, it is incredibly versatile as it can be used for multiple tasks, including customer service, education, entertainment, and creative content writing, amongst many other things. And to top it all, it is constantly improving with each response.

    ChatGPT is built on top of OpenAI’s GPT-3.5. And GPT-4 foundational large language models (LLMs) have been fine-tuned using supervised and reinforcement learning techniques. But before that, there was an InstructAI, created by OpenAI in response to the growing concern that large language models like GPT-3 that could be used to generate harmful or misleading content as it was not trained to follow user instructions. In short, InstructGPT was aligning language models to follow instructions rather than complete sentences by predicting the next words.

    OpenAI says, “ChatGPT is a sibling model to InstructGPT.”

    How ChatGPT Came To Be?

    As I mentioned before, ChatGPT seems like an overnight hit, but years of research have gone behind its development. Innovators and engineers have been working on generative AI for decades. Though Generative AI has made significant progress over the past few years, researchers began exploring its potential in the 1980s and 1990s. One of the earliest breakthroughs came with the development of recurrent neural networks (RNNs) – a type of AI that can process sequential data such as text and speech. Backpropagation— a pivotal technique for training RNNs— was introduced in a 1986 paper by Geoffrey Hinton and Terrence Sejnowski. By the 1990s, scientists had developed RNNs capable of generating text. In 1991, a method for training RNNs to generate text similar to human-written text was introduced by Yoshua Bengio and Yann LeCun. This was a breakthrough, as it demonstrated that machines could be taught to generate text identical to that which humans produce, and thus began more research and more hard work in the field of generative AI.

    Success Story of OpenAI- The Makers of the ChatGPT
    OpenAI offers services for AI development and implementation. It is the creator of the famous ChatGPT. This is the story of how it all started.
    StartupTalkySarika Anand

    In the 2000s, scientists developed transformers, a new type of RNN that is particularly well-suited for natural language processing tasks. The Transformer architecture was first introduced in the paper “Attention Is All You Need” by (Ashish) Vaswani et al. (2017), and later, Ilya Sutskever developed (at Google Brain) the attention mechanism that is used in Transformers. Oriol Vinyals worked on the implementation of Transformers.

    Fun Fact: In 2015, Ilya Sutskever  joined OpenAI as a research scientist and was promoted to research director in 2016 and became the chief scientist in 2018.

    Later, it was Quoc V. Le, who led the team that developed Transformers at Google AI, and the Transformer architecture is now used widely for natural language processing tasks. It has achieved state-of-the-art results on multiple tasks, including machine translation, text summarization, and question-answering.

    Recent years have seen the development of increasingly sophisticated models, such as OpenAI’s GPT-2 (2019) and GPT-3 (2020), capable of generating text nearly indistinguishable from that written by humans. OpenAI Inc. trained GPT-2 on a massive dataset of texts and codes of approximately 40GB in size and 1.5 billion parameters. The dataset used to train GPT-3 was even bigger— approx. 570GB of text and 175B parameters. So, this is what powers ChatGPT— decades of hard work and research by a host of scientists and engineers passionate about artificial intelligence.

    GPT-4 vs GPT 3.5: 5 Key Differences Explained
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    Some Interesting ChatGPT Statistics and Facts Are As Follows:

    1. The large language model powering ChatGPT, GPT-3 (GPT is short for Generative Pre-trained Transformer), was not trained to get instructions from users.
    2. Before ChatGPT, OpenAI developed InstructGPT.
    3. ChatGPT was trained on a dataset of the size of approx., 570GB.
    4. ChatGPT was launched on November 30, 2022, by San Francisco–based OpenAI, the creator of DALL·E 2 and Whisper AI.
    5. The platform was initially free to the public, and the company had plans to monetize the service later.
    6. ChatGPT doesn’t provide any source about its responses unless specifically prompted.
    7. In January 2023, ChatGPT reached over 100 million users, making it the fastest-growing consumer application to date.
    8. The service works best in English but can also function in other languages like Spanish, French, German, Italian, and Portuguese to varying degrees of accuracy.
    9. No official peer-reviewed technical paper on ChatGPT was published.
    10. The training process for ChatGPT took several months and involved hundreds of GPUs.
    11. The API access to ChatGPT is available in free and paid versions, but the cost of API access ranges from $0.000048 to $0.00072 per token.
    12. It can answer questions with an accuracy of 66% on the SuperGLUE benchmark.
    13. OpenAI says that Chatbot can give wrong answers too.
    14. The maximum ChatGPT users are from the age group of 25-34 years which accounts for roughly 35.3% of total users.
    15. Its responses are limited to 2021 as per its dataset.
    16. The popular website for developers ‘Stack Overflow’ has banned this AI on its platform.
    17. After the United States (19.01%), India (5.42) accounts for the second largest traffic source on the website.
    18. According to SimilarWeb, organic traffic accounts for 88.43% of the traffic on the ChatGPT website. This means that 88.43% of the people who visit the website do so by typing the URL into their browser or clicking on a link in a search engine result. The remaining 11.57% of the traffic comes from other sources, such as social media, direct links, and email.
    19. Netflix took 3.5 years, Facebook took 10 months, Instagram took 2.5 months, whereas ChatGPT took just five days to cross 1 million users.
    20. On February 1, 2023, OpenAI also launched ChatGPT Plus, a more efficient version of ChatGPT, which people can use by purchasing a 20 USD subscription plan. OpenAI hopes to generate 200m USD in revenue by 2023 from this Platform.
    ChatGPT: Inside the latest version with OpenAI CEO Sam Altman

    ChatGPT’s success is a testament to the power of AI. AI is capable of developing tools that can be beneficial to humans. As AI evolves, we will likely see even more powerful and innovative tools like ChatGPT and ChatGPT Plus. Google might launch Bard AI for all users in May with their annual Google I/O meet. Microsoft has already integrated a sophisticated version of AI, based on the GPT-4 model, in its Bing search engine, and look how much more efficient it has become since then. Wonder what Google can achieve by integrating Bard AI in Google Search!

    FAQs

    What is Google’s Bard?

    Bard is an artificial intelligence chatbot developed by Google, based on the LaMDA (Language Model for Dialogue Applications).

    On what techniques is ChatGPT built?

    ChatGPT is built on top of OpenAI’s GPT-3.5. And GPT-4 foundational large language models (LLMs) have been fine-tuned using supervised and reinforcement learning techniques.

  • Google’s Bard Vs. ChatGPT: Who Wins the AI Battle?

    On November 30, 2022, a company in San Francisco, USA, debuted its most ambitious AI project that is ChatGPT. And within five days of its launch, ChatGPT got 1 million users worldwide. This feat is what Silicon Valley products like Facebook or Instagram could achieve in the past, as even Instagram took 2.5 months to get a 1Million user base.

    ChatGPT, developed by OpenAI, became a massive hit and seems like an overnight success. But the research and development powering the GPT model that powers it took decades, going back to the 1980s when people in the field of Artificial Intelligence started working on recurrent neural networks (RNNs) – a sort of AI that can process sequential data such as text and human speech. The breakthrough came in 2017 when some scientists working at Google Brain came up with the Transformer Architecture, which became the basis of OpenAI’s GPT (Generative Pre-Trained Transformer) after GPT-1, GPT-2, GPT-3, we got ChatGPT Chatbot, a generative AI chatbot capable of understanding dialogues and generating creative text content when prompted, poems, speeches, and letters even.

    On the other hand, Google, the company with the hegemony in web search over the past two decades, has been actively working on AI since the early 2000s with its Google Brain project and has since made several notable achievements and breakthroughs in the field of AI. As a prominent player in AI, Google has developed numerous AI-driven products and services, which include Google Translate, Google Autocomplete, Google Voice, Google Photos, Google Cloud Natural Language API, Google Cloud Speech API, and the AI chatbot Bard. Beyond this, Google also leads cutting-edge AI research and development and publishes several papers in top AI conferences and journals.

    In 2016, a few months after becoming CEO of Google, Sundar Pichai made a sweeping proclamation that Google, whose name had become synonymous with search, would now be an “AI-first” company. After taking the company reins, Mr. Pichai’s announcement was his first order of business at Google’s annual I/O developers’ meet, but believe it or not, Google is not an ‘AI-first’ company at present, and it is playing to catch up with OpenAI, and Microsoft Inc.

    On February 6, just a day before Microsoft announced its new Bing Chatbot powered by OpenAI’s ChatGPT, Google’s CEO, in a blog post, announced Bard, an experimental conversational AI service powered by LaMDA (Language Model for Dialogue Applications). The announcement of Bard appeared to be a pretty rushed one. And a factual error about James Webb Space Telescope (JWST) discovering exoplanets (It was the European Southern Observatory’s large telescope that took the first pictures of exoplanets in 2004 and not JWST) in a promotional video for Bard made Google’s parent company Alphabet lose $100 billion (9%) in market value.

    So, even though Google has been working on its AI and deep learning developments for quite some time now, it has to cover a lot of ground for generative AI and this AI battle. With so many companies like Microsoft, IBM, Apple, etc., investing heavily in AI and ML research and development, Google certainly has a lot of competitors, and Microsoft’s Bing AI is leading from the first when it comes to challenging Google’s Search Platform.

    ChatGPT vs Bard AI – Key Highlights
    GPT-3.5 and GPT-4 – The Large Language Model Powering ChatGPT and ChatGPT Plus
    LaMDA – Google’s Language Powering Bard
    Which AI Chatbot is Better – ChatGPT or Google’s Bard?

    ChatGPT vs Bard AI – Key Highlights

    ChatGPT was created by OpenAI— using a specially tweaked version of OpenAI’s Generative Pre-training Transformer 3 (GPT-3) or GPT-4 (depending on the version)— and Bard AI was created by Google. It was announced in February 2023, just a day before Microsoft announced its new Bing Chatbot powered by OpenAI’s ChatGPT, while ChatGPT was launched in late November 2022. Bard AI uses Google’s Language Model for Dialogue Applications (LaMDA).

    If we talk about data sources, ChatGPT has trained on a massive dataset of text, including Wikipedia, books, documents, articles, and content taken from the open internet. However, its sources end in 2021, limiting the latest world events and research. And Bard AI trained on Infiniset, a blend of data (set) including Common Crawl, Wikipedia, documents, and conversations and dialogues from the web. Google claims that Bard will search the web in real-time to find the most recent answers to questions and the latest research. Bard combines the breadth of the world’s knowledge with the power, intelligence, and creativity of Google’s large language models.

    ChatGPT is open for free to all users, ChatGPT Plus, the newer, upgraded version of ChatGPT, based on the GPT-4 model, is available for use at a $20/month subscription to include access to more capabilities, access during peak times, longer content, visual inputs, faster response times, and priority access to new features. Google’s Bard AI is free to use, but the access is not publicly available. However, you can join the waitlist, and soon access will be provided.

    Now coming to knowledge and accuracy, ChatGPT is ignorant of events after 2021 due to its training data cut-off. But the Bard AI can search the internet for current information and use that to generate responses. However, Bard AI can also make hard-to-spot errors, including the error mentioned below.

    When asked about Google’s AI efforts and progress, the company claimed that it launched the GPT-2 and GPT-3 models, which isn’t the case— OpenAI developed and launched them.

    GPT-3.5 and GPT-4 – The Large Language Model Powering ChatGPT and ChatGPT Plus

    The AI chatbot of ChatGPT works by using natural language processing (NLP) and machine learning algorithms to understand and generate human-like responses when prompted by users. It is based on OpenAI’s Generative Pre-training Transformer’s third version (GPT-3) and uses an extensive neural network trained on a massive dataset of text and codes.

    When a user inputs a prompt or query, ChatGPT processes the input using its NLP algorithms to understand the meaning and intent behind the user’s message. It then uses its machine learning algorithms to generate a response based on its training data and the context of the conversation. The response is thus shown to the user in natural language.

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    GPT-3, the powerful and advanced language model with 175 billion parameters, can generate coherent and contextually appropriate language. GPT-3.5 is an update to GPT-3 that includes new capabilities and improved performance, and GPT-4 is expected to have an even larger vocabulary size and more advanced deep-learning concepts. GPT-4 is capable of analyzing visual inputs and logical interpretation of images. It also accepts up to 25000-word for better context and creates longer, creative content than ChatGPT.

    LaMDA – Google’s Language Powering Bard

    It was the annual Google I/O event in 2021 that Google announced LaMDA (Language Model for Dialogue Applications). It is an advanced AI language model developed to engage in free-flowing conversations across endless topics and can mimic human dialogue. During its training, LaMDA picked up on several nuances of open-ended conversation to ensure sensible and impressive replies. It can prioritize helpful suggestions and witty retorts, avoiding generic responses such as “Okay” or “I’m not sure.”

    To guarantee factual accuracy, Google integrated LaMDA with third-party information sources to source facts and avoid generating conflicting or false information— as concerns were raised over the misinformation generated by existing chatbots.

    LaMDA is powered by Google’s Transformer (deep learning) architecture (developed in 2017), which enables the model to “read” multiple words at once and analyze their relationships with one another. Even OpenAI’s GPT models rely on the same Transformer architecture.

    Which AI Chatbot is Better – ChatGPT or Google’s Bard?

    ChatGPT is the most successful AI chatbot at the moment. It took just five days since its launch on November 30, 2022, to get 100m users, and by January, it had 100m users worldwide. While it is too early to conclude which AI Chatbot— ChatGPT or Google’s Bard— is the better one and who wins the AI battle, it is worth commenting that Bard is still an experiment as claimed by Google and makes factual errors like the one mentioned above. And ChatGPT is limited by its training data set that remains anchored to the past, 2021.

    That being said, ChatGPT is now upgraded to the newer version, ChatGPT Plus, and it is much more advantageous when it comes to generating creative content, writing codes, or doing some research work.

    It is also worth mentioning that the use of these two AI Chatbots depends upon user needs and how one uses these tools, though a careful approach and fact-checking of some facts, once in a while, is certainly needed.

    FAQs

    What are the major differences between Google’s Bard and ChatGPT?

    • ChatGPT was created by OpenAI, whereas Bard AI was created by Google
    • ChatGPT’s data sources end in 2021, however, Bard claims that it searches in real-time
    • ChatGPT’s knowledge and accuracy are till 2021 due to its training data cut-off. But the Bard AI can search the internet for current information and use that to generate responses

    What are the language models in which ChatGPT and Google’s Bard work?

    The AI chatbot of ChatGPT works by using natural language processing (NLP) and machine learning algorithms to understand and generate human-like responses when prompted by users.

    While Google’s Bard works by using LaMDA (Language Model for Dialogue Applications).

  • How to use GPT-4 on ChatGPT right now?

    ‌‌Though ChatGPT 3— arguably the most helpful version of Artificial Intelligence (AI) chatbot developed by OpenAI until now— launched in 2020, it hasn’t been long since people got the hang of it. People are using this generative AI for all sorts of questioning, blog writing, paper writing, and others. The popularity of ChatGPT has spread like wildfire. It wouldn’t be wrong to compare its popularity to the popularity of sugar in Europe in the 19th century. Ironically, until 1850, only wealthy people in society could afford sugar, and then, thanks to Napoleon, beet sugar became available in the British market and became affordable. People were hooked on this cheap yet tasty pick-me-up and couldn’t get enough. The same goes for GPT-4 and ChatGPT Plus. Like sugar in 1850, only people who have subscribed to the ChatGPT Plus can use GPT-4 features, which are more enhanced than its predecessor.

    ChatGPT, GPT-4, and ChatGPT Plus

    For the uninitiated, ChatGPT is a large language model (LLM) -based AI Chatbot trained on human dialogues in the form of text. It can produce texts and responses in the form of human-like output when prompted. It can generate poems, make up conversations and stories and help you write blogs and reports. On the other hand, GPT, short for generative pre-trained transfer, is an LLM. It uses a larger dataset of texts and codes for training than the AI chatbot. And OpenAI, the official company behind this transforming technology, has just released its newest version GPT-4.

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    GPT-4 is presently unavailable for everyone as it costs a USD 20 subscription, but you can join the API waitlist.

    “We’re making GPT-4 available as an API for developers to build applications and services”, says OpenAI on its website.

    There is another way to get inexpensive access as a researcher. If you’re into research and want to research, say on the societal impact of AI, or write papers on OpenAI’s GPT-4, you can fill out a form and hit submit to get subsidized access through their research access program.

    Anyway, if you’re a ChatGPT user and you’ve been using it to feed your curiosity or simply write blogs or articles, you might have noticed that it doesn’t always produce the desired result. To put it more straightforwardly, its features are basic and limited. GPT-4 offers an upgradation of those features and more.

    ChatGPT was bound by limited text (3000-word limit) as input which restricted its response to more conceptual and contextual queries, but GPT-4 can offer a massive 25000-word intake for asking your questions with context. Not only that, you can give it a website URL and it will summarize or give you a brief idea about the content of the webpage.

    Regarding visuals, GPT-4 can take images as input and provide you with analytical responses as well. If you enter an image of balloons tied to ropes, it will inform you that the balloons will fly away when you sever the thread. It is unclear whether it can do the same with videos, but this is a significant enhancement.

    GPT-4 is more logical, analytical, and creative with its response than its predecessor. And that’s the thing about technology, constant improvement. GPT-4 is performing better than ChatGPT when it comes to human-made tests. In Uniform Bar Exams, a test conducted by NCBE (National Conference of Bar Examiners) for law aspirants in 26 US states, GPT-4 was amongst the 90th percentiles outperforming ChatGPT (10th).

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    OpenAI is currently offering a 20 USD subscription for ChatGPT Plus. ChatGPT Plus is an upgrade over the previous ChatGPT. It can respond to dialogue-based conversations like ChatGPT but with more creative and contextual responses. It utilizes GPT-4’s longer context feature to come with longer content for its users, which is useful for people writing survey reports and research papers. It’s a great tool to have while writing.

    How to use GPT-4 on ChatGPT right now?

    It is natural for people to be curious about things, but curiosity about the latest technologies is what I appreciate even more. People who have been using ChatGPT are now interested in using GPT-4. So, how can you use GPT-4, and more importantly, how can you use GPT-4 on the same ChatGPT platform?

    OpenAI says that you have to take the 20 USD subscription plan to use ChatGPT Plus, and by doing so, you access the features of GPT-4 over the ChatGPT platform. And if you don’t you can still use ChatGPT like before. So, if you haven’t taken the subscription and you open GPT-4 from the OpenAI website, you’ll be redirected to ChatGPT, and if you do decide to subscribe to ChatGPT Plus, here is how you can do that:

    Step 1 – Open the OpenAI website

    OpenAI Website
    OpenAI Website

    Step 2 – Go to ChatGPT under the “Product” section and log in

    Click ChatGPT under Product
    Click ChatGPT under Product

    Step 3 – Click the “Upgrade to Plus” button in the left navigation bar

    Click Upgrade to Plus
    Click Upgrade to Plus

    Step 4 – Click the “Upgrade plan” button on the following page

    Click Upgrade Plan
    Click Upgrade Plan

    Step 5 – Enter your payment information and click the “Pay” button

    Enter Your Payment Information
    Enter Your Payment Information

    Voila, now you have access to the most powerful generative AI– as of now.

    How can I use GPT-4 for free?

    So, all hope is not lost if you do not have 20 bucks. There are still some ways you can benefit from some features of GPT-4.

    For one, as I mentioned earlier, you can join the API waitlist through Open AI. OpenAI is offering GPT-4 to developers for creating tools using GPT-4 features and API integrations. So, if you are a developer, that is a good option.

    Join API Waitlist
    Join API Waitlist

    Secondly, OpenAI also offers GPT-4 limited access to researchers who want to research GPT-4 (AI LLM) and its social and economic impacts. So, if you are an academician and want to use GPT-4, you can fill out the OpenAI Research Access Program form.

    OpenAI Research Access Program Form
    OpenAI Research Access Program Form

    Thirdly, use Bing Chat. Microsoft Inc. hinted that its Bing Search engine uses GPT-4 on its Bing Chat feature, which is integrated with Bing. You can open the Microsoft Edge browser on any Windows laptop and simply type your query into the Bing search bar and click the “Chat” button. You will then be able to interact with a chatbot powered by GPT-4. The range of features available with Bing Chat is still unknown, but you can certainly use and explore it.

    How to Get and Use the New Bing Ai – Use ChatGPT 4 for Free

    So GPT-4 is here, and if you are curious about trying out its capabilities, you can follow the above-said ways to do so but keep in mind that GPT-4 is still under development, so it may not always be perfect. However, it is a powerful tool that can be used for various kinds of purposes. If you are interested in trying it out, I encourage you to sign up for ChatGPT Plus or use Bing.

    FAQs

    What are the major differences between GPT-4 and its predecessors?

    Here are the 5 key differences between GPT-4 and its predecessors –

    • GPT-4 is more creative
    • GPT-4 made visual input possible
    • GPT-4 accepts a longer context
    • GPT-4 has advanced reasoning capabilities
    • GPT-4 is more safe and accurate

    How can GPT-4 be used for free?

    GPT-4 can be used for free in the following 3 ways –

    • Join the API waitlist
    • Fill out the OpenAI Research Access Program Form
    • Use Bing Chat

  • How Can Marketers Use ChatGPT? Here Are The Top 11 Uses

    The advent of generative AI has enormous potential to not only increase the overall productivity of businesses, but also to complement many people’s works in the areas of journalism, education, writing, and more. A report by the United States investment bank Goldman Sachs, in a recent report, highlighted the fact that generative AI has the potential to transform the labor market and even produce more jobs.

    Typically, the use of technology-led automation results in the loss of jobs, but it is not necessary since technology can also enable more job creation by increasing productivity and inducing labor demand. Generative AI is one such technology. Inventions like ChatGPT find several usages to assist people, and the marketing sector is no different. With increasing global smartphone penetration, marketers are realizing that many people spend a significant amount of their time on smartphones and that it could be the perfect platform to bring more advertising and marketing campaigns to people. ChatGPT could be very useful in this regard.

    Additionally, Marketers need a tool that can help them to generate high-quality content, personalize content for different audiences, answer questions from customers and prospects, generate leads, and improve customer service. While marketing professionals do this regularly and show immense creativity in this regard; so, what if Artificial Intelligence (AI) can help? OpenAI’s ChatGPT— now backed by GPT-4— is a powerful AI tool that too can fulfill all these needs. It can generate high-quality content that is needed in marketing, personalize that content for different audiences, answer questions from customers and prospects, generate leads, and improve customer service as well. It can help marketers to improve the efficiency and effectiveness of their campaigns.

    What is ChatGPT?

    ChatGPT is a large language model-based AI chatbot developed by technology firm OpenAI that is effectively working on deep learning in partnership with Microsoft, capable of generating human-like creative responses when prompted. It is capable of writing lengthier text responses and understanding lengthier text contexts as well. Empowered with GPT-4 (short for Generative Pre-trained Transformer), ChatGPT can also analyze visual inputs. In terms of creativity, it can generate different creative text formats, like poems, code, scripts, musical pieces, emails, letters, etc.

    ChatGPT is presently free of cost and available to everybody. However, its upgraded version, the ChatGPT Plus, is not free, and you need a 20 USD subscription to access its features.

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    ChatGPT Bringing More Creativity To Marketing

    People that work in marketing, and create creative ads, know that ChatGPT is the perfect tool for marketers like themselves who want to take their campaigns to the next level. With its ability to analyze large amounts of data and generate creative ideas, ChatGPT can help marketers create effective, efficient, and memorable campaigns that could resonate with their target audience. Whether you’re looking to increase brand awareness, drive traffic to your website, or boost sales, ChatGPT has got you covered. In fact, as a large language model trained by OpenAI’s massive dataset of codes and texts, ChatGPT is uniquely positioned to bring more creativity to marketing.

    So, here are 11 ways ChatGPT can be useful to Marketers:

    Content Creation
    Personalize Content
    Copywriting
    Research
    Generating Leads
    Chatbot Development
    Customer Service and Customer Retention
    Brand Reputation Management
    Influencer Marketing
    Social Media Management
    Email Marketing

    Content Creation

    Marketers Using ChatGPT for Content Creation
    Marketers Using ChatGPT for Content Creation

    Marketers can use ChatGPT to generate high-quality content, such as blog posts, social media captions, email campaigns, and articles. It can be used for writing product descriptions tailored to the target audience’s preferences and interests. This can save marketers a lot of time and effort, plus it can be helpful to ensure that their content is engaging and informative. Marketers often struggle with creating engaging and personalized content, and ChatGPT can help by producing a quick wireframe and providing relevant resources to help them with that.

    Personalize Content

    Marketers Using ChatGPT for Personalize Content
    Marketers Using ChatGPT for Personalize Content 

    ChatGPT can be used to personalize content for different audiences as well. It can analyze data to segment the target audience based on specific characteristics such as age, gender, geographic location, and interests. This segmentation allows marketers to personalize content and campaigns for different groups and increase the chances of audience engagement. Marketers can tailor the content to the interests and needs of the audience or by using different language styles to appeal to different demographics simply by prompting ChatGPT. Pretty easy!

    Copywriting

    Marketers Using ChatGPT for Copywriting
    Marketers Using ChatGPT for Copywriting

    Another significant task marketers could efficiently perform by taking the help of ChatGPT is copywriting. It can assist marketers in writing persuasive and compelling copy for advertisements, emails, and other marketing materials that drive conversions. By providing ChatGPT with the product or service’s details and the target audience’s characteristics, Marketers can get a compelling and relevant copy that aligns with the brand’s voice and tone. This will effectively assist their work to a great extent by creating more effective marketing materials that are more likely to persuade customers to take action.

    I got ChatGPT to build me an entire marketing campaign

    Research

    Marketers Using ChatGPT for Research
    Marketers Using ChatGPT for Research

    The best use of ChatGPT is its ability to provide effective results when you do your market research. It can be used to research multiple topics by generating text, finding trends and reports, surveys, and translating languages, thus, helping marketers stay up-to-date on the latest trends and develop effective marketing campaigns.

    Additionally, ChatGPT can help marketers discover relevant and high-traffic keywords for SEO and PPC campaigns. Using ChatGPT, marketers can develop a comprehensive list of keywords that align with the brand’s products or services and the target audience’s search intent.

    Generating Leads

    Marketers Using ChatGPT for Lead Generation
    Marketers Using ChatGPT for Lead Generation

    Marketers want their marketing campaigns to work and generate leads. So, it is more beneficial to make campaigns relatable to the demography you are targeting. ChatGPT can generate leads by qualifying prospects and identifying those most likely interested in a product or service. This can effectively help marketers to save time and money on lead-generation campaigns.

    Chatbot Development

    Marketers Using ChatGPT for Chatbot Development
    Marketers Using ChatGPT for Chatbot Development

    Another great use of ChatGPT for marketing companies is personal AI chatbots. ChatGPT can assist in the development of chatbots that improve customer service and engagement. Chatbots powered by ChatGPT can handle complex queries and provide personalized recommendations and solutions based on the customer’s behavior and interests. This is a great integration benefit of ChatGPT that many API developers will go for it. Even OpenAI is providing free access to developers for this purpose.

    Customer Service and Customer Retention

    Marketers Using ChatGPT for Customer Service and Customer Retention
    Marketers Using ChatGPT for Customer Service and Customer Retention

    Customer service is a significant part of the marketing sector, and ChatGPT can be used to improve this by providing customers with quick and accurate answers to their questions. ChatGPT can also effectively help improve customer retention by analyzing customer data and behavior. By providing personalized recommendations and solutions based on the customer’s preferences and past purchases, ChatGPT can increase customer loyalty and satisfaction. It will also help with reducing customer frustration and improving customer loyalty.

    Brand Reputation Management

    Marketers Using ChatGPT for Brand Reputation Management
    Marketers Using ChatGPT for Brand Reputation Management

    A lot depends on brand reputation amongst consumers. ChatGPT can help monitor the brand’s reputation online by analyzing customer feedback and reviews, as people would give feedback and write reviews mentioning what works and what doesn’t. By providing marketers with insights into how customers perceive the brand, ChatGPT can assist in developing strategies to improve the brand’s image and reputation. This will result in better service and improved profitability.

    Influencer Marketing

    Marketers Using ChatGPT for Influencer Marketing
    Marketers Using ChatGPT for Influencer Marketing

    The recent Budlight fiasco highlights the need for a correct strategy for influencer marketing. A lot of leg work, the right market, and target audience research become crucial. Budlight learned its lessons, but more brands do not need to make the same mistakes. Influencer marketing is a prominent segment now, and ChatGPT can identify relevant and high-performing influencers for a brand’s influencer marketing campaigns. By analyzing influencer data and metrics, ChatGPT can provide insights into which influencers can be most influential in promoting the brand’s products or services.

    Social Media Management

    Marketers Using ChatGPT for Social Media Management
    Marketers Using ChatGPT for Social Media Management

    The use of technology and modern tips and tricks can have a significant impact on profitability. Proper social media management is one such trick. ChatGPT can assist in managing social media accounts by generating engaging and informative content and responding to customer inquiries and comments. With ChatGPT’s help, marketers can ensure that their social media accounts are active and engaging, increasing customer engagement and loyalty. Social media can help marketers to reach a wider audience and to generate more engagement with their content.

    Email Marketing

    Marketers Using ChatGPT for Email Marketing
    Marketers Using ChatGPT for Email Marketing

    Last but not least, ChatGPT can also help create personalized and engaging email campaigns, which is extremely important as more and more businesses spend heavily on email marketing. It can analyze customer data and behavior and give you great insight into what sells and what doesn’t. By developing compelling email content that aligns with the customer’s interests, marketers can increase open rates, click-through rates, and conversions, and ChatGPT is happy to help.

    Conclusion

    ChatGPT can assist marketers in numerous tasks— from content creation and copywriting to customer retention and market research. Using ChatGPT, marketers can improve their marketing strategy effectiveness and create more personalized and engaging campaigns that resonate with their target audience and lead to profitability and customer satisfaction.

    FAQs

    How can ChatGPT be useful to Marketers?

    Here are 11 ways ChatGPT can be useful to Marketers-

    • Content Creation
    • Personalize Content
    • Copywriting
    • Research
    • Generating Leads
    • Chatbot Development
    • Customer Service and Customer Retention
    • Brand Reputation Management
    • Influencer Marketing
    • Social Media Management
    • Email Marketing

    How can ChatGPT help in Content Creation?

    Marketers can use ChatGPT to generate high-quality content, such as blog posts, social media captions, email campaigns, and articles. It can be used for writing product descriptions tailored to the target audience’s preferences and interests. This can save marketers a lot of time and effort, plus it can be helpful to ensure that their content is engaging and informative.

    How can ChatGPT be helpful in Generating Leads?

    ChatGPT can generate leads by qualifying prospects and identifying those most likely interested in a product or service. This can effectively help marketers to save time and money on lead-generation campaigns.

    How can ChatGPT help in Chatbot Development?

    ChatGPT can assist in the development of chatbots that improve customer service and engagement. Chatbots powered by ChatGPT can handle complex queries and provide personalized recommendations and solutions based on the customer’s behavior and interests.