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  2. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.

  3. BLOOM (language model) - Wikipedia

    en.wikipedia.org/wiki/BLOOM_(language_model)

    BigScience Large Open-science Open-access Multilingual Language Model (BLOOM) [1] [2] is a 176-billion-parameter transformer-based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences. [3]

  4. File:How To Be a Maker!.pdf - Wikipedia

    en.wikipedia.org/wiki/File:How_To_Be_a_Maker!.pdf

    Create account; Log in; Pages for logged out editors learn more. Contributions; Talk; File:How To Be a Maker!.pdf. Add languages. ... Download QR code ...

  5. Llama (language model) - Wikipedia

    en.wikipedia.org/wiki/Llama_(language_model)

    Llama was trained on only publicly available information, and was trained at various model sizes, with the intention to make it more accessible to different hardware. The model was exclusively a foundation model , [ 6 ] although the paper contained examples of instruction fine-tuned versions of the model.

  6. Form and document creation - Wikipedia

    en.wikipedia.org/wiki/Form_and_Document_Creation

    Form and Document Creation is one of the things that technical communicators do as part of creating deliverables for their companies or clients. Document design is: "the field of theory and practice aimed at creating comprehensible, persuasive and usable functional documents". [1]

  7. Wikipedia:Large language models - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Large_language...

    This page in a nutshell: Avoid using large language models (LLMs) to write original content or generate references. LLMs can be used for certain tasks (like copyediting, summarization, and paraphrasing) if the editor has substantial prior experience in the intended task and rigorously scrutinizes the results before publishing them.

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