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Generative Pre-trained Transformer 2 (GPT-2) is a large language model by OpenAI and the second in their foundational series of GPT models. GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. [3] [4] [5]
First described in May 2020, Generative Pre-trained [a] Transformer 3 (GPT-3) is an unsupervised transformer language model and the successor to GPT-2. [181] [182] [183] OpenAI stated that the full version of GPT-3 contained 175 billion parameters, [183] two orders of magnitude larger than the 1.5 billion [184] in the full version of GPT-2 ...
OpenAI o3 is a generative pre-trained transformer (GPT) model developed by OpenAI as a successor to OpenAI o1. It is designed to devote additional deliberation time when addressing questions that require step-by-step logical reasoning. [1] [2]
OpenAI’s GPT-4o, released in May, achieved 88%, while the company’s latest model, o1, scored 92.3%. Because these large test sets sometimes contain problems with incorrectly-labelled answers, ...
OpenAI, the sources said, knew Google was planning to introduce a host of new AI features, and tease a powerful new AI model with similar capabilities to GPT-4o, at its Google I/O developer ...
[2] [3] As of 2023, most LLMs had these characteristics [7] and are sometimes referred to broadly as GPTs. [8] The first GPT was introduced in 2018 by OpenAI. [9] OpenAI has released significant GPT foundation models that have been sequentially numbered, to comprise its "GPT-n" series. [10]
The language model has 175 billion parameters — 10 times more than the 1.6 billion in GPT-2, which was also considered gigantic on its release last year. GPT-3 can perform an impressive range of ...
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 ChatGPT Plus subscribers have higher usage limits. [2] It can process and generate text, images and audio. [3]