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  2. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Self-refine [38] prompts the LLM to solve the problem, then prompts the LLM to critique its solution, then prompts the LLM to solve the problem again in view of the problem, solution, and critique. This process is repeated until stopped, either by running out of tokens, time, or by the LLM outputting a "stop" token.

  3. File:Cheatsheet-en.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Cheatsheet-en.pdf

    To see PDF and PNG files, please see Category:Wikimedia promotion. Work derivate and translated from Image:Cheatsheet-en.pdf or Image:Cheatsheet-en.png. Note. PNG files are just for preview, and should soon be deleted. PDF files were the former ones (what do we do with them now ?) SVG files are the new ones.

  4. Markdown - Wikipedia

    en.wikipedia.org/wiki/Markdown

    Some apps, services and editors support Markdown as an editing format, including: Bugzilla uses a customized version of Markdown. [44] ChatGPT: Output from the LLM formatted in Markdown will be rendered in LaTeX and HTML by the ChatGPT client, and the model is encouraged to use Markdown to format its output. Markdown provided by the user will ...

  5. Help:Cheatsheet - Wikipedia

    en.wikipedia.org/wiki/Help:Cheatsheet

    Wiki markup quick reference (PDF download) For a full list of editing commands, see Help:Wikitext; For including parser functions, variables and behavior switches, see Help:Magic words; For a guide to displaying mathematical equations and formulas, see Help:Displaying a formula; For a guide to editing, see Wikipedia:Contributing to Wikipedia

  6. File:Wiki markup cheatsheet EN.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Welcome2WP_English...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

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  8. 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]

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    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!