![]() “In a casual conversation, the distinction between GPT-3.5 and GPT-4 can be subtle,” OpenAI wrote in a blog post announcing GPT-4. OpenAI worked with Microsoft to develop a “supercomputer” from the ground up in the Azure cloud, which was used to train GPT-4. Like previous GPT models, GPT-4 was trained using publicly available data, including from public webpages, as well as data that OpenAI licensed. OpenAI spent six months “iteratively aligning” GPT-4 using lessons from an internal adversarial testing program as well as ChatGPT, resulting in “best-ever results” on factuality, steerability and refusing to go outside of guardrails, according to the company. And Khan Academy is leveraging GPT-4 to build some sort of automated tutor. Morgan Stanley is creating a GPT-4-powered system that’ll retrieve info from company documents and serve it up to financial analysts. Duolingo built GPT-4 into a new language learning subscription tier. Other early adopters include Stripe, which is using GPT-4 to scan business websites and deliver a summary to customer support staff. ![]() Microsoft confirmed today that Bing Chat, its chatbot tech co-developed with OpenAI, is running on GPT-4. ![]() GPT-4 has been hiding in plain sight, as it turns out. Tokens represent raw text for example, the word “fantastic” would be split into the tokens “fan,” “tas” and “tic.” Prompt tokens are the parts of words fed into GPT-4 while completion tokens are the content generated by GPT-4. Pricing is $0.03 per 1,000 “prompt” tokens (about 750 words) and $0.06 per 1,000 “completion” tokens (again, about 750 words). GPT-4 is available today to OpenAI’s paying users via ChatGPT Plus (with a usage cap), and developers can sign up on a waitlist to access the API. OpenAI has released a powerful new image- and text-understanding AI model, GPT-4, that the company calls “the latest milestone in its effort in scaling up deep learning.”
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