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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]
OpenAI o3 is a reflective 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 released a smaller model, o3-mini, on January 31st, 2025. [3]
Generative Pre-trained Transformer 2 ("GPT-2") is an unsupervised transformer language model and the successor to OpenAI's original GPT model ("GPT-1"). GPT-2 was announced in February 2019, with only limited demonstrative versions initially released to the public.
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 ...
OpenAI's GPT-n series Model Architecture Parameter count Training data Release date Training cost GPT-1: 12-level, 12-headed Transformer decoder (no encoder), followed by linear-softmax. 117 million BookCorpus: [39] 4.5 GB of text, from 7,000 unpublished books of various genres. June 11, 2018 [9] 30 days on 8 P600 graphics cards, or 1 petaFLOPS ...
These deep generative models were the first to output not only class labels for images but also entire images. In 2017, the Transformer network enabled advancements in generative models compared to older Long-Short Term Memory models, [ 38 ] leading to the first generative pre-trained transformer (GPT), known as GPT-1 , in 2018. [ 39 ]
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]
A group of OpenAI insiders are calling for more transparency and greater protections for employees willing to come forward about the risks and dangers involved with the technology they’re building.