Tag: GPT-3.5

  • 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.

    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.

    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).

  • 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.

    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.