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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]
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Transformer decoder (no encoder), followed by linear-softmax. 117 million BookCorpus: [39] 4.5 GB of text, from 7,000 unpublished books of various genres.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 ...
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 ...
Hand holding smartphone with OpenAI Chat GPT against flag of USA; Horizontal resolution: 240 dpi: Vertical resolution: 240 dpi: Software used: Adobe Photoshop Lightroom Classic 12.3 (Windows) File change date and time: 16:27, 22 May 2023: Exposure Program: Manual: Exif version: 2.31: Date and time of digitizing: 11:04, 18 May 2023: Shutter ...
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.
Other models with large context windows includes Anthropic's Claude 2.1, with a context window of up to 200k tokens. [46] Note that this maximum refers to the number of input tokens and that the maximum number of output tokens differs from the input and is often smaller. For example, the GPT-4 Turbo model has a maximum output of 4096 tokens. [47]
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.