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  2. Template:Generative AI chatbots - Wikipedia

    en.wikipedia.org/wiki/Template:Generative_AI...

    Template documentation For the maintenance tag, see Template:AI-generated . This template's initial visibility currently defaults to autocollapse , meaning that if there is another collapsible item on the page (a navbox, sidebar , or table with the collapsible attribute ), it is hidden apart from its title bar; if not, it is fully visible.

  3. Template:Generative AI - Wikipedia

    en.wikipedia.org/wiki/Template:Generative_AI

    Template documentation This template's initial visibility currently defaults to autocollapse , meaning that if there is another collapsible item on the page (a navbox, sidebar , or table with the collapsible attribute ), it is hidden apart from its title bar; if not, it is fully visible.

  4. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Archives of social media websites, including Reddit, Twitter, and Hackernews. Text extracted and normalized from WARCs ~100,000,000 posts Json NLP, sentiment, linguistics 2022 [96] [97] J. Baumgartner SEC Filings: EDGAR | Company Filings Text extracted. csv NLP CNAE-9 Dataset Categorization task for free text descriptions of Brazilian companies.

  5. List of large language models - Wikipedia

    en.wikipedia.org/wiki/List_of_large_language_models

    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. [22] GPT-Neo: March 2021: EleutherAI: 2.7 [23] 825 GiB [24] MIT [25] 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, but ...

  6. Open-source artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Open-source_artificial...

    Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [1]

  7. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Prompt engineering is the process of structuring or crafting an instruction in order to produce the best possible output from a generative artificial intelligence (AI) model. [ 1 ] A prompt is natural language text describing the task that an AI should perform. [ 2 ]

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