What is ChatGPT-4 all the new features explained

Other users created a matchmaking service, bedtime stories, a browser extension that translates any webpage into “pirate speak,” and even a tool that can help discover new medications. The new GPT-4 artificial intelligence software from OpenAI has only been out for one day. But developers are already finding incredible ways to use the updated tool, which now has the ability to analyze images and write code in all major programming languages.

Check out our courses and learning paths below, or test out your machine learning literacy with a free Skill IQ test. In this article, we’ll dive into the differences between GPT-3 and GPT-4, and show off some new features that GPT-4 brings to ChatGPT. It only scored a 2 out of 5 on the AP English Language exams — the same score as the prior version, GPT-3.5, received. Here are a few things you need to know about the latest version of the buzziest new technology in the market. OpenAI has developed infrastructure and optimization with predictable behavior across multiple scales and can accurately predict GPT-4’s final loss during training. A significant focus of the GPT-4 project has been building a deep learning stack that scales predictably.

How to access GPT-4

It’s a humorous situation because squirrels typically eat nuts, and we don’t expect them to use a camera or act like humans,” GPT-4 responded. Brockman also showcased GPT-4’s visual capabilities by feeding it a cartoon image of a squirrel holding a camera and asking it to explain why the image is funny. ChatGPT, which runs on a technology called GPT-3.5, has been so impressive, in part, because it represents a quantum leap from the capabilities of its predecessor from just a few years ago, GPT-2. Built by the San Francisco-based startup OpenAI, the app was flawed in many ways, but it also sparked a wave of excitement (and fear) about the transformative power of generative AI to change the way we work and create.

These models generate answers with the illusion of omniscience, which means they can easily spread convincing lies and reprehensible hate. While GPT-4 seems to wrinkle that critique with its apparent ability to describe images, its basic function remains really good pattern matching, and it can only output text. It’s certainly pushing the boundaries of what we thought was possible just a few months ago.

Also, new GPT-3.5 Turbo model, lower API prices, and other model updates.

Morgan Stanley is creating a GPT-4-powered system that’ll retrieve info from company documents and serve it up to financial analysts. And Khan Academy is leveraging GPT-4 to build some sort of automated tutor. While we didn’t get to see some of the consumer facing features that we would have liked, it was a developer-focused livestream and so we aren’t terribly surprised. Still, there were definitely some highlights, such as building a website from a handwritten drawing, and getting to see the multimodal capabilities in action was exciting. Earlier, Google announced its latest AI tools, including new generative AI functionality to Google Docs and Gmail. OpenAI already announced the new GPT-4 model in a product announcement on its website today and now they are following it up with a live preview for developers.

• The text-moderation-latest and text-moderation-stable aliases have been updated to point to it.
• GPT-3.5 Turbo is a family model that is a more polished version of GPT-3.5 and is available for developer purchase through an OpenAI API.
• “GPT-4 Turbo performs better than our previous models on tasks that require the careful following of instructions, such as generating specific formats (e.g., ‘always respond in XML’),” reads the company’s blog post.

There is concern about the proliferation of unsolicited AI-generated content online. GPT-4 can generate text and accept image and text inputs — an improvement over GPT-3.5, its predecessor, which only accepted text — and performs at “human level” on various professional and chat gpt 4 release date academic benchmarks. For example, GPT-4 passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5’s score was around the bottom 10%. ChatGPT can generate contextually relevant text, but has no understanding of the topics it discusses.