The large multimodal language model, GPT-4, is ready for prime time, although, contrary to reports circulating since Friday, it doesn’t support the ability to produce videos from text.
The large multimodal language model, GPT-4, is ready for prime time, although, contrary to reports circulating since Friday, it doesn’t support the ability to produce videos from text.
GPT-4 can, however, accept image and text input and produce text output. Over a range of domains — including documents with text and photographs, diagrams, or screenshots — GPT-4 exhibits similar capabilities as it does on text-only inputs, OpenAI explained on its website.
That feature, though, is in “research preview” and won’t be publicly available.
OpenAI explained that GPT-4, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks.
For example, it passed 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%.Leaps Over Past Models
One of the early users of GPT-4 is Casetext, maker of an AI legal assistant, CoCounsel, which it says is capable of passing both the multiple-choice and written portions of the Uniform Bar Exam.
“GPT-4 leaps past the power of earlier language models,” Pablo Arredondo, co-founder and chief innovation officer for Casetext, said in a statement. “The model’s ability not just to generate text, but to interpret it, heralds nothing short of a new age in the practice of law.”
“Casetext’s CoCounsel is changing how the law is practiced by automating critical, time-intensive tasks and freeing our lawyers to focus on the most impactful aspects of practice,” Frank Ryan, Americas Chair of DLA Piper, a global law firm, added in a press release.
OpenAI explained it had spent six months aligning GPT-4 using lessons from its adversarial testing program, as well as ChatGPT, resulting in its best-ever results — though far from perfect — on factuality, steerability, and refusing to go outside of guardrails.
It added that the GPT-4 training run was unprecedentedly stable. It was the company’s first large model whose training performance it was able to predict ahead of time accurately.
