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  2. GPT-2 - Wikipedia

    en.wikipedia.org/wiki/GPT-2

    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]

  3. OpenAI o3 - Wikipedia

    en.wikipedia.org/wiki/OpenAI_o3

    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]

  4. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    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Transformer decoder (no encoder), followed by linear-softmax. 117 million BookCorpus: [39] 4.5 GB of text, from 7,000 unpublished books of various genres.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 ...

  5. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    In 2019 October, Google started using BERT to process search queries. [36] In 2020, Google Translate replaced the previous RNN-encoder–RNN-decoder model by a Transformer-encoder–RNN-decoder model. [37] Starting in 2018, the OpenAI GPT series of decoder-only Transformers became state of the art in natural language generation.

  6. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative AI systems trained on words or word tokens include GPT-3, GPT-4, GPT-4o, LaMDA, LLaMA, BLOOM, Gemini and others (see List of large language models). They are capable of natural language processing , machine translation , and natural language generation and can be used as foundation models for other tasks. [ 62 ]

  7. OpenAI - Wikipedia

    en.wikipedia.org/wiki/OpenAI

    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.

  8. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Evaluations of controlled LLM output measure the amount memorized from training data (focused on GPT-2-series models) as variously over 1% for exact duplicates [141] or up to about 7%. [ 142 ] A 2023 study showed that when ChatGPT 3.5 turbo was prompted to repeat the same word indefinitely, after a few hundreds of repetitions, it would start ...

  9. AutoGPT - Wikipedia

    en.wikipedia.org/wiki/AutoGPT

    On March 30, 2023, AutoGPT was released by Toran Bruce Richards, the founder and lead developer at video game company Significant Gravitas Ltd. [3] AutoGPT is an open-source autonomous AI agent based on OpenAI's API for GPT-4, [4] the large language model released on March 14, 2023. AutoGPT is among the first examples of an application using ...