The next big thing in natural language processing (NLP) is OpenAI GPT-4, which is the result of significant advancements in artificial intelligence in recent years. With its conversational characteristics, from conversational partners to code creation, the current version of the text-generating language model, GPT-3.5, has surpassed people's expectations.
Based on GPT-3, which has been trained on 175 billion "parameters," the popular chatbot interface is one of the most complicated and extensive language models ever made (data points).
It is a little-known fact, though, that GPT-4, the replacement being developed by OpenAI, a company that does AI research, is already well underway. According to rumors, GPT-4 will be a lot more powerful and more competent than GPT-3. One report even claimed that the parameter count had increased to somewhere over 100 trillion, while OpenAI CEO Sam Altman has openly rejected this.
The good news is that according to Microsoft Germany CTO Andreas Braun, who was quoted by the German news outlet Heise, the GPT-4 language module will be released sometime next week! We're excited!
But first, what distinguishes GPT-4 from its predecessors, and what effects will it have on society? Here is what we currently know:
GPT-4 Will Be Made Available Sometime Around 2023
GPT-4 is expected to be released this year. In fact, some people think it's already here in the shape of the chat feature that Bing recently implemented. Bing powered by ChatGPT requires users to sign up for a waiting list for now, but Microsoft has stated that it intends to make it available to millions of users by the end of February.
We might have to wait a bit longer if it comes out that GPT-3 or GPT-3.5 (an improved version published last year) is indeed what Bing is using. Before it was generally accessible to the public with the introduction of ChatGPT in late 2022, GPT-3 was first made available to selected partners, paying clients, and academic institutions. A similarly restricted release may be applied with GPT-4.
The Ability To Produce Computer Code Will Be Improved By GPT-4
ChatGPT's (and consequently GPT-3) capacity to develop not just human but also computer languages is one of its most outstanding characteristics. This indicates that a range of programming languages, including Javascript, Python, and C++—three of the most often used in software development, web development, and data analytics—can be simply converted into computer code.
Early this year, word spread that OpenAI was actively recruiting software developers and programmers, particularly those who were proficient in describing what their technology did in human language. Many believe that GPT-4 and other upcoming technologies will push AI even further in order to create new ground in the field of computer code generation. This may result in more powerful iterations of programs like Microsoft's Github Copilot, which right now employs a tweaked version of GPT-3 to enhance its capacity to translate natural language into code.
It May Not Be Trained On Significantly More Data Than GPT-3
Although this hasn't been verified, it appears to be a reasonable bet. The suggestion that it is trained on 100 trillion parameters has been rejected by Altman, while some sources assert that it may be up to 100 times larger than GPT-3, or around 17 trillion parameters. Altman has also publicly said that it might not actually be much bigger than GPT-3. This is due to the possibility of investing effort in enhancing its utilization of current data as opposed to only supplying it with new data.
Several experts have cited Megatron 3, a competing large language model (LLM), which is trained on far more data than GPT-3 but does not surpass OpenAI's platform in testing, as proof that in the field of AI, larger is not necessarily better. The operating costs of GPT-4 and, presumably, ChatGPT would go down if the algorithm's efficiency was increased. This will be critical if it is to become as extensively used as the most prominent search engines, as some forecast.
GPT-4 Won't Expand Its Functionality With Graphics
It had been predicted that the text creation capabilities of GPT-3 and the picture creation capabilities of OpenAI's other flagship tool, Dall-E 2, would be combined in the next generation of generative AI. This is an intriguing concept since it raises the prospect that data may be converted into graphs, charts, and other visualizations—functionality that GPT-3 lacks. Altman, however, refuted this and asserted that GPT-4 will continue to be a text-only paradigm.
Further information regarding Chat GPT 4.0 are provided below:
Model size: GPT-4 will be a larger model than GPT-3, but not quite as huge as the biggest models already on the market (the MT-NLG 530B and the PaLM 540B). There won't be anything distinctive about size.
Multimodality: The GPT-4 text-only model will be multimodal. OpenAI plans to fully use language models before switching to multimodal models like DALLE, which they believe will eventually beat unimodal systems.
Optimality: GPT-4 will need greater processing power than GPT-3. Scaling laws and new optimality insights into parameterization (optimal hyperparameters) will be used (the number of training tokens is just as significant as the size of the model).
Sparsity: GPT-4 will be a dense model, continuing the pattern established by GPT-2 and GPT-3, meaning that all parameters will be employed to process any given input. Sparsity will become more and more dominant in the future.
Alignment: GPT-4 will be more in line with our objectives than GPT-3. It will use what it discovered after researching InstructGPT, which was developed with user feedback. Alignment of AI is still a long way off, therefore efforts should be carefully considered rather than overstated.
Final Words
Without a doubt, ChatGPT has revolutionized the IT industry by demonstrating artificial intelligence (AI) with conversational skills that are unmatched by anything we have ever seen before. Until Chat GPT 4.0 is officially released, we won't fully know what its features are, and like you, we too are interested to find out!
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