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  2. Template:Creation - Wikipedia

    en.wikipedia.org/wiki/Template:Creation

    This template should always be substituted by prefixing "subst:" inside the template code. Thus use {{subst:Creation|user/u or ip/anon}} rather than {{Creation|u/user or ip/anon}}. This template presumes that its use will be for a first response to an unindented post, and thus automatically indents one colon for all paragraphs. If you require ...

  3. Wikipedia:Large language models and copyright - Wikipedia

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

    Apart from the a possibility that saving an LLM output may cause verbatim non-free content to be carried over to the article, these models can produce derivative works. For example, an LLM can rephrase a copyrighted text using fewer, the same, or more words than the original – editors should mind the distinction between a summary and an ...

  4. 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.

  5. 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]

  6. 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.

  7. Llama (language model) - Wikipedia

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

    Llama (Large Language Model Meta AI, formerly stylized as LLaMA) is a family of large language models (LLMs) released by Meta AI starting in February 2023. [2] [3] The latest version is Llama 3.3, released in December 2024.

  8. Datadog (DDOG) Q4 2024 Earnings Call Transcript - AOL

    www.aol.com/datadog-ddog-q4-2024-earnings...

    Image source: The Motley Fool. Datadog (NASDAQ: DDOG) Q4 2024 Earnings Call Feb 13, 2025, 8:00 a.m. ET. Contents: Prepared Remarks. Questions and Answers. Call ...

  9. Template:LLM office - Wikipedia

    en.wikipedia.org/wiki/Template:LLM_office

    This template should always be substituted (i.e., use {{subst:LLM office}}). Any accidental transclusions will be automatically substituted by a bot.