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  2. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a language model -based chatbot developed by OpenAI and launched on November 30, 2022. It can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [2] Successive user prompts and replies are considered at each ...

  3. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    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]

  4. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    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. [160] GPT-Neo: March 2021: EleutherAI: 2.7 [161] 825 GiB [162] MIT [163] 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 ...

  5. AutoGPT - Wikipedia

    en.wikipedia.org/wiki/Auto-GPT

    AutoGPT. AutoGPT is an open-source " AI agent " that, given a goal in natural language, will attempt to achieve it by breaking it into sub-tasks and using the Internet and other tools in an automatic loop. [ 1 ] It uses OpenAI 's GPT-4 or GPT-3.5 APIs, [ 2 ] and is among the first examples of an application using GPT-4 to perform autonomous tasks.

  6. Generative pre-trained transformer - Wikipedia

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

    A generative pre-trained transformer (GPT) is a type of large language model (LLM) [1][2][3] and a prominent framework for generative artificial intelligence. [4][5] It is an artificial neural network that is used in natural language processing by machines. [6] It is based on the transformer deep learning architecture, pre-trained on large data ...

  7. MMLU - Wikipedia

    en.wikipedia.org/wiki/MMLU

    It is one of the most commonly used benchmarks for comparing the capabilities of large language models, with over 100 million downloads as of July 2024. [1][2] The MMLU was released by Dan Hendrycks and a team of researchers in 2020 [3] and was designed to be more challenging than then-existing benchmarks such as General Language Understanding ...

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