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Generative Pre-trained Transformer 3 (GPT-3) is a large language model released by OpenAI in 2020.. Like its predecessor, GPT-2, it is a decoder-only [2] transformer model of deep neural network, which supersedes recurrence and convolution-based architectures with a technique known as "attention". [3]
The most recent of these, GPT-4o, was released in May 2024. [11] Such models have been the basis for their more task-specific GPT systems, including models fine-tuned for instruction following—which in turn power the ChatGPT chatbot service. [1] The term "GPT" is also used in the names and descriptions of such models developed by others.
A fine-tuned variant of GPT-3, termed GPT-3.5, was made available to the public through a web interface called ChatGPT in 2022. [165] GPT-Neo: March 2021: EleutherAI: 2.7 [166] 825 GiB [167] MIT [168] The first of a series of free GPT-3 alternatives released by EleutherAI. GPT-Neo outperformed an equivalent-size GPT-3 model on some benchmarks ...
This version of ChatGPT is an earlier generation of the software called GPT 3.5, originally released in early 2022. And this open-access version does have a few caveats: For one, you can’t save ...
On July 18, 2024, OpenAI released GPT-4o mini, a smaller version of GPT-4o replacing GPT-3.5 Turbo on the ChatGPT interface. Its API costs $0.15 per million input tokens and $0.60 per million output tokens, compared to $5 and $15 respectively for GPT-4o.
Meanwhile, the latest GPT release could be a boon to Microsoft, which has invested billions of dollars into OpenAI to embed its AI technology into Microsoft’s own products.
OpenAI's GPT-4 model was released on March 14, 2023. Observers saw it as an impressive improvement over GPT-3.5, with the caveat that GPT-4 retained many of the same problems. [ 95 ] Some of GPT-4's improvements were predicted by OpenAI before training it, while others remained hard to predict due to breaks [ 96 ] in downstream scaling laws .
The MMLU was released by Dan Hendrycks and a team of researchers in 2020 [3] ... (25%), with the best performing GPT-3 model achieving 43.9% accuracy. [3] ...