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At the time of the MMLU's release, most existing language models performed around the level of random chance (25%), with the best performing GPT-3 model achieving 43.9% accuracy. [3] The developers of the MMLU estimate that human domain-experts achieve around 89.8% accuracy. [ 3 ]
The 2023 GPT-4 was praised for its increased accuracy and as a "holy grail" for its multimodal capabilities. [17] OpenAI did not reveal the high-level architecture and the number of parameters of GPT-4. The release of ChatGPT led to an uptick in LLM usage across several research subfields of computer science, including robotics, software ...
GPT-2: GPT-1, but with modified normalization 1.5 billion WebText: 40 GB of text, 8 million documents, from 45 million webpages upvoted on Reddit. February 14, 2019 (initial/limited version) and November 5, 2019 (full version) [40] "tens of petaflop/s-day", [41] or 1.5e21 FLOP. [42] GPT-3: GPT-2, but with modification to allow larger scaling ...
GPT-4o ("o" for "omni") is a multilingual, multimodal generative pre-trained transformer developed by OpenAI and released in May 2024. [1] GPT-4o is free, but with a usage limit that is five times higher for ChatGPT Plus subscribers. [ 2 ]
Generative Pre-trained Transformer 4 (GPT-4) is a multimodal large language model created by OpenAI, and the fourth in its series of GPT foundation models. [1] It was launched on March 14, 2023, [ 1 ] and made publicly available via the paid chatbot product ChatGPT Plus , via OpenAI's API , and via the free chatbot Microsoft Copilot . [ 2 ]
Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic). [4] The test was introduced by Turing in his 1950 paper "Computing Machinery and Intelligence" while working at the University of Manchester. [5]
They said that GPT-4 could also read, analyze or generate up to 25,000 words of text, and write code in all major programming languages. [197] Observers reported that the iteration of ChatGPT using GPT-4 was an improvement on the previous GPT-3.5-based iteration, with the caveat that GPT-4 retained some of the problems with earlier revisions. [198]
A blind study conducted at the University of Wollongong Law School compared GPT-3.5 and GPT-4 with 225 students in an end-of-semester criminal law exam. The findings revealed that the average score of the students was considerably higher than the GenAI models.