![]() But of course the capabilities of large language models are applicable in any written language and ought to be made available in those. ![]() The AI world is dominated by English speakers, and everything from data to testing to research papers are in that language. That’s a very approximate description of how the attention mechanism and token count work, but the general idea is of expanded memory and the capabilities that accompany it. So it will remember what you talked about 20 pages of chat back, or, in writing a story or essay, it may refer to events that occurred 35 pages ago. What this means is that in conversation or in generating text, it will be able to keep up to 50 pages or so in mind. That translates to around 64,000 words or 50 pages of text, enough for an entire play or short story. GPT-4 has a maximum token count of 32,768 - that’s 2^15, if you’re wondering why the number looks familiar. So it would sort of lose track of things after they passed that far “back” in its attention function. That limit with GPT-3.5 and the old version of ChatGPT was 4,096 “tokens,” which is around 8,000 words, or roughly four to five pages of a book. These large language models are trained on millions of web pages, books, and other text data, but when they’re actually having a conversation with a user, there’s a limit to how much they can keep “in mind,” as it were (one sympathizes). The way OpenAI describes it, GPT-3.5 (which powered ChatGPT) was a “test run” of a new training architecture, and they applied the lessons from that to the new version, which was “unprecedentedly stable.” They also were better able to predict its capabilities, which makes for fewer surprises. With these in mind, the new model is much better than its predecessors on “factuality, steerability, and refusing to go outside of guardrails.” GPT-4, on the other hand, has been trained on lots and lots of malicious prompts - which users helpfully gave OpenAI over the last year or two. People even collaborate on “jailbreak” prompts that quickly let ChatGPT and others out of their pens. A little coaxing can persuade them that they are simply explaining what a “bad AI” would do, or some other little fiction that lets the model say all kinds of weird and frankly unnerving things. GPT-4’s new capabilities power a ‘virtual volunteer’ for the visually impairedįor all that today’s chatbots get right, they tend to be easily led astray. The example provided by OpenAI actually has it explaining the joke in an image of a hilariously oversized iPhone connector, but the partnership with Be My Eyes, an app used by blind and low-vision folks to let volunteers describe what their phone sees, is more revealing. You could simply ask it to describe what’s in a picture, of course, but more importantly its understanding goes beyond that. GPT-4, however, can be given images and it will process them to find relevant information. ChatGPT and GPT-3 were limited to text: They could read and write but that was about it (though more than enough for many applications). The most noticeable change to this versatile machine learning system is that it is “multimodal,” meaning it can understand more than one “modality” of information. With that said, let’s get into the differences between the chatbot you know and love and its newly augmented successor. The ChatGPT system that exploded in popularity over the last few months was a way to interact with GPT-3.5, and now it’s a way to interact with GPT-4. But what sets GPT-4 apart from previous versions like ChatGPT and GPT-3.5? Here are the five biggest differences between these popular systems.įirst, though, what’s in a name? Although ChatGPT was originally described as being GPT-3.5 (and therefore a few iterations beyond GPT-3), it is not itself a version of OpenAI’s large language model, but rather a chat-based interface for whatever model powers it. ![]() OpenAI’s new GPT-4 AI model has made its big debut and is already powering everything from a virtual volunteer for the visually impaired to an improved language learning bot in Duolingo.
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