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Source channel @githubtrending · Post #14993 · Jul 24

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#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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Self-Immolation

@SelfImmolation · Post #908 · 07/18/2022, 05:31 PM

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How to react if someone is angry with you? One time Brahmin Akkosaka got angry at Buddha, because a man from his clan had become a Bhikkhu. Akkosaka was yelling and insulting the Buddha. Buddha: “What do you think, Akkosaka? Do your friends, relatives, and guests sometimes come to visit you?” Akkosaka: "Sometimes they do, Master Gotama.” Buddha: "Do you then serve them with a variety of food and drinks?” Akkosaka: "Sometimes I do.” Buddha: “But if they don’t accept it, who do those food and drinks belong to?” Akkosaka: “In that case Master Gotama, they still belong to me.” Buddha: “In the same way, Akkosaka, when you abuse, harass, and attack me, who does not abuse, harass, and attack, I don’t accept your insults. They still belong to you, Akkosaka, they still belong to you!" - SN 7.2 Akkosaka Sutta#anger#Buddha

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