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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
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.
'''bold''' ''italics'' <sup>superscript</sup> <sub>superscript</sub> → bold: → italics: → superscript → subscript <s>strikeout</s> <u>underline</u> <big>big ...
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.
Retrieval Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.
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 ...
HOLY GRAIL: Draft strategy. I strive for balance between category leagues and points leagues, and to achieve that, I follow a simple formula:. Get guards who cover points, assists, 3s and steals ...
A large language model (LLM) is a type of computational model designed for natural language processing tasks such as language generation.As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.