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Source channel @githubtrending · Post #14993 · Jul 24

#jupyter_notebook Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability. https://github.com/langchain-ai/rag-from-scratch

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@strangerdances · Post #350 · 12/29/2023, 10:38 AM

Сегодня! 22:00 hatamazzy (электронный сольный проект Ивана Белецкого from Dvanov) Ultrabiologique lillyrrat DWNCHRS (это я, поиграю глитч сет) Красная 88 (Трубадур) Вход свободный 18+ #hypnagogic_pop#post_vaporwave#glitch

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@AboutRss · Post #504 · 04/07/2020, 10:15 AM

「 #Twitter Followings OPML Export」 https://opml.glitch.me/ 一个基于 #Glitch 的 #Webapp#工具 ,先扒拉你fo的推友,然后从他们Bio里找链接,再从链接里找Feed,最后生成一个 #OPML 文件。 发现于 https://twitter.com/crid/status/1247411843989192704

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