StartupTalky

Tag: OpenAI

  • 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.

    How Can Marketers Use ChatGPT?
    ChatGPT can help marketers create effective, efficient, and memorable campaigns that could resonate with their target audience.
    StartupTalkyAbira Dutta

    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

  • 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
    OpenAI claims its new upgraded version GPT-4 is much more capable than GPT-3.5. Let’s see the 5 key differences between the GPT-4 and its predecessor in this article.
    StartupTalkyAbira Dutta

    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.

  • 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.

    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

    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).

    GPT-4 vs GPT 3.5: 5 Key Differences Explained
    OpenAI claims its new upgraded version GPT-4 is much more capable than GPT-3.5. Let’s see the 5 key differences between the GPT-4 and its predecessor in this article.
    StartupTalkyAbira Dutta

    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

  • GPT-4 vs GPT 3.5: 5 Key Differences Explained

    GPT-4, the new upgraded version of OpenAI’s large language model (LLM), is finally here. It is a renewed and exciting development in natural language processing, and it has the potential to significantly improve the way humans interact with computers and artificial intelligence.

    Like its predecessor GPT-3.5, it also can generate texts and creative content when prompted by a user. The evolution of generative AI is unquestionably faster than our evolution which ironically took millions of years, but who’s counting?

    Organizations like Microsoft, OpenAI, Midjourney, Google, IBM, and many more realize the infinite potential artificial intelligence (AI) has, and that is why they are all willing to bet big. OpenAI and Microsoft, in 2019, formed a 1B USD partnership to strengthen OpenAI’s Artificial Intelligence development and scale its deep learning efforts.

    Furthermore, Google, in its I/O developer conference in May 2021, announced a new language model called “LaMDA”— which is short for Language Model for Dialogue Applications. LaMDA is a new conversational AI model designed to have more natural and engaging conversations with users, just like ChatGPT. Fast forward to 2023, and now we have Google’s conversational AI chatbot “BARD” which is also capable of doing everything ChatGPT can do, but what makes Google’s Bard different is the fact that it is developed by Google, exposed to a larger dataset of text and code, improving its trust quotient amongst the general public.

    OpenAI claims its new upgraded version of GPT (Generative Pre-trained Transfer), GPT-4 is much more capable than GPT-3.5—  usually, that is what an upgrade means. So, let’s see the 5 key differences between the GPT-4 and its predecessor.

    GPT-4: The Next-Gen Language Model Launch and Overview
    GPT-4 is OpenAI’s most advanced, large-scale, multimodal model that can accept images and text as inputs and create text outputs.
    StartupTalkyRishi Mundra

    More Creative
    Visual Input Made Possible
    More Text
    Advance Reasoning Capabilities
    More Safe And Accurate

    More Creative

    From first GPT-1 in 2018, which could generate human-like text output, to GPT-2 in 2019, where the AI is capable of producing longer and more complex text pieces, and then GPT-3 in 2020, longer and even more creative, sophisticated texts in paragraphs, OpenAI has made significant progress in a very short time. The latest GPT-4 is presumed to be more creative in its response than previous versions, including GPT 3.5.

    OpenAI claims that GPT-4 is highly proficient at generating and working with users on creative projects like music composing, technical writing and editing, screenplays, and even understanding a user’s unique writing style. And that is a significant improvement over GPT-3.5.

    GPT-4 is more Creative than GPT-3.5
    GPT-4 is more Creative than GPT-3.5

    If you ask it to narrate a movie plot creatively, it will not disappoint you.

    Visual Input Made Possible

    GPT-4 is also unique in its ability to process visual input, which was missing in GPT-3.5. It can now accept an image as input to generate a logical and comprehensive response. It can create captions, classifications, and analyses as well.

    For instance, in one example provided by OpenAI, the chatbot is given an image of baking ingredients and is asked what can be made with them, and to my surprise, it does come up with a response. That is quite interesting if you ask me. I also like Google’s image search response, but it is much more intelligent.

    GPT-4 Response to an Image
    GPT-4 Response to an Image

    However, it is not clear if video can also be used in the same way.

    More Text

    Yes, more text. The new GPT-4 can take more text as input than ChatGPT, which is based on GPT-3.5, to generate a more comprehensive, complex, and contextual response. According to OpenAI, the newer version, GPT-4, can take 25000 words, approximately 8 times more words than ChatGPT, that can be used to create more useful, longer, and analytical content. You can write reports, papers, and much more.

    GPT-4 - Longer Context
    GPT-4 – Longer Context

    Advance Reasoning Capabilities

    Another incredibly important factor– a fundamental difference between GPT-4 and GPT-3.5–  is advanced reasoning abilities. GPT-4 is trained on a larger dataset of text and code, allowing it to analyze human input more logically and present a more cohesive, resolute, and human-like output.

    The Difference Between GPT-3.5 and GPT-4

    One example that OpenAI cites is a logical aptitude-based question where people have only a half-hour common window to meet, and it is asked to suggest the common window. GPT-4 comes up with the correct response in a single-line answer without any unwanted gibberish, which is fascinating.

    GPT-4 - Advanced Reasoning Capabilities
    GPT-4 – Advanced Reasoning Capabilities

    Apart from that, it has immense potential in the field of education. It is like a teacher a fifth grader struggling with mathematics never had. It can solve algebra equations, draw coordinates and graphical representations of equations, and more.

    Additionally, OpenAI claims that GPT-4 can outsmart humans on many tests created for humans. It has outscored many students in standardized tests like SAT and such.

    More Safe And Accurate

    OpenAI claims that GPT-4 is also trained to provide a safe and more accurate experience than before.

    As per OpenAI, “GPT-4 is 82% less likely to respond to requests for disallowed content and 40% more likely to produce factual responses than GPT-3.5,” as internally evaluated.

    So, there is a fair chance that if you ask for something that it considers inappropriate, it won’t respond. But it also raises a pertinent issue about what it considered as “disallowed content’’, what should be ‘banned’ on this platform, and what shouldn’t—  but is for another day.

    Conclusion

    It is clear by now that the capabilities of GPT-4 surpass those of its predecessor GPT 3.5. It can process longer prompts and engage in extended conversations while demonstrating an ability to recognize and respond to emotions conveyed through text. Moreover, GPT-4 excels in understanding and producing diverse dialects and can even analyze and provide feedback on images and graphics. It is capable of logically interpreting visuals like images. However, it is not clear, as of now, if it can interpret video inputs as well.

    Additionally, GPT-4 is more accurate and less prone to factual errors than GPT-3.5. It can generate text consistent with the given prompt while being more creative, producing original and captivating text that is engaging as well as persuasive at the same time. Its efficiency is also quite impressive as it generates text at a faster pace and with fewer instances of crashing or memory overload.

    GPT-4 is more accessible and affordable, allowing more individuals to utilize its capabilities while being more transparent and open with its code available to the public and developers receptive to feedback. It embodies a sense of optimism and represents the potential of artificial intelligence to transform the world.

    FAQs

    What are the major differences between GPT-3.5 and GPT-4?

    Here are the 5 key differences between GPT-3.5 and GPT-4 –

    • 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 many words can GPT-4 take as per OpenAI?

    GPT-4, can take 25000 words, approximately 8 times more words than ChatGPT, that can be used to create more useful, longer, and analytical content.

  • GPT-4: The Next-Gen Language Model Launch and Overview

    Do you know that GPT in ChatGPT is an acronym for Generated Pre-trained Transfer? Do you know that there is a difference between GPT and ChatGPT?

    “GPT-4 is OpenAI’s most advanced system, producing safer and more useful responses”. That’s what it says when you visit the OpenAI website. Most advance, safer and useful responses, emphasize word response here.

    GPT- 4 – Launch
    Availability – Microsoft Bing, ChatGPT Plus
    GPT-4 and Why Are We Talking About It?
    What’s New With GPT-4?
    Educational Benefits
    How GPT-4 Is Different From Google’s LaMDA?
    Conclusion

    GPT- 4 – Launch

    On March 27, 2023, OpenAI published its technical report on GPT-4 which is a “large-scale, multimodal model” which can accept images and text as inputs and can create text outputs. Not to be confused with ChatGPT, which is a conversation (chat) bot model, designed specifically for conversational interactions with people. ChatGPT uses natural language processing techniques to comprehend the user’s intent and generate fitting responses. It has separate data set for training and includes a dialogue management system to come up with appropriate responses in a conversation. You can also refer to previous responses in a conversation and it does well to remember that.

    The GPT-4, an improvement over the previous GPT 3.5, was initially released on March 15, 2023, and has sparked quite a debate. It aims to improve the capabilities of GPT 3.5 in understanding and generating natural language texts, particularly in more complex scenarios like image interpretation and even solving logical tests designed for humans. And frankly, it is doing pretty well, outsmarting, outscoring many human test takers.

    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

    Availability – Microsoft Bing, ChatGPT Plus

    The easiest access to GPT-4 is Microsoft’s Bing chat. Microsoft and OpenAI have a significant partnership. In 2019, Microsoft Inc. announced a $1 billion partnership with OpenAI to develop advanced AI technologies. And now it has come to light that Microsoft’s search engine Bing uses GPT-4 for its AI chatbot Bing Chat to break Google’s hegemony in web search (engine).

    AI Powered Microsoft Bing and Edge
    AI-Powered Microsoft Bing and Edge

    So, Bing is the easiest way to access GPT-4. Another way to use GPT-4 is by paying $20 for ChatGPT plus a subscription where you can explore the full range of GPT-4 capabilities. Although, a feature like visual input is currently not available on Bing and there is no clarification on which other capabilities are integrated with Bing as of now.

    GPT- 4 and Why Are We Talking About It?

    GPT-4 is a large language model or conversational AI developed by OpenAI. It is the fourth generation of the GPT language model series, and it is presumed to be significantly more powerful than its predecessor GPT-3.5. It is trained on a massive dataset of text and code, and it can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way including responding to visual inputs. It’s capable of interpreting logical inputs and producing responses similar to human beings.

    What is GPT4 and How You Can Use OpenAI GPT 4

    Generative AI has got us talking about it and there are several reasons for that but primarily because it is a very critical breakthrough in artificial intelligence. It is the first language model that can generate human-quality text, and it has the potential to revolutionize many industries. It can complement people in their work, mainly people that are involved in journalism, content writing and data analytics, and more. GPT-4 could be used to create more realistic chatbots (like Bing Chat, and ChatGPT), generate more engaging marketing content, and write more creative and informative articles.

    What’s New With GPT-4?

    GPT-4 is an upgraded version of GPT-3.5. While there are many similarities between GPT-4 and its predecessor, GPT-4 is an upgrade in terms of its use, accuracy, response size (word limit), interpretational skills, and inputs.

    How GPT-4 is more reasonable than ChatGPT
    How GPT-4 is more reasonable than ChatGPT

    GPT-4 has a larger and more diverse dataset to train. It is trained on a dataset of text and code that is 100 times larger than the dataset used to train GPT-3 which allows GPT-4 to learn more about the world and to produce more accurate and creative text. It also uses a new architecture that is significantly more powerful than the architecture used in GPT-3, so it can process more information and generate more complex text. It is capable of producing textual responses around 8 times larger than its predecessor. Its training process is also very efficient.

    OpenAI says that the new version of GPT is more advanced in three key areas that are creativity, visual input, and longer context. If you enter an image of balloons tied to a thread and ask what will happen when you cut the thread, it can tell you that the balloons will fly away. It can also take in and produce a 25000-word response compared to ChatGPT’s 3000-word limit.

    It is also more prepared and provides safeguards when it comes to ‘adversarial usage’, ‘unwanted content’, and ‘privacy concerns.’ Well, that’s what it says on its website.

    Educational Benefits

    Apart from writing essays, articles, and the usual, what I’m more interested in is the educational benefits of GPT-4. It is like a teacher with 360-degree training in all the subjects a school-going student would hope for. History, Science, Maths, Sociology, French, Computer Science, Philosophy, you name it and it will produce responses to your questions in a humanized manner.

    Imagine what a fifth grader, who doesn’t get enough time at school to ask questions related to maths or is shy to ask them upfront, can learn when equipped with GPT-4 that can help him/her with mathematical equations, graphs, and complex algebra and geometry questions. Students in USA or India, trying to learn foreign languages like French, Spanish, German, etc, can also benefit from GPT-4 immensely.

    Many educational platforms like Duolingo and Knewton are using integrated GPT-4 AI models to understand user input and produce appropriate responses, which is quite advantageous if you ask me.

    How GPT- 4 Is Different From Google’s LaMDA?

    Developed by Google Inc., LaMDA, short for, Language Model for Dialogue Applications, is a language model just as GPT-4 but it has been developed and trained on a massive dataset of code and text and dialogue backed by Google’s search engine. It can produce different creative texts, like poems, code, scripts, musical pieces, emails, letters, etc.

    Google LaMDA and GPT-4
    Google LaMDA and GPT-4

    Conclusion

    GPT-4 is trained on a dataset based on text and code and it can produce complex text, create different kinds of creative content and but LaMDA is trained on a dataset based on dialogue and understands natural human language better. it can create more engaging conversations like ChatGPT. Google’s chatbot named Bard is based on LaMDA and poised to produce better responses than ChatGPT but there’s still time to determine how this AI race will play out in the long run.

    FAQs

    What is GPT-4 and how is it different from the previous versions?

    GPT-4 is OpenAI’s most advanced, large-scale, multimodal model that can accept images and text as inputs and create text outputs.

    How can GPT-4 be accessed?

    The easiest access to GPT-4 is Microsoft’s Bing chat. Microsoft and OpenAI have a significant partnership. In 2019, Microsoft Inc. announced a $1 billion partnership with OpenAI to develop advanced AI technologies. Microsoft’s search engine Bing uses GPT-4 for its AI chatbot Bing Chat.