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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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Libreware

@libreware · Post #1232 · 02/22/2024, 11:58 AM

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Quiet Encrypted p2p team chat with no servers, just Tor. https://tryquiet.org/index.html https://github.com/TryQuiet/quiet Currently in developpement stage so be cautious of your data Quiet is an alternative to team chat apps like Slack, Discord, and Element that does not require trusting a central server or running one's own. In Quiet, all data syncs directly between a team's devices over Tor with no server required. No email or phone number required, Unlike #Slack, #Discord, #WhatsApp, #Telegram, and #Signal, no email or phone number is required to create or join a #community. End-to-end encryption, All data is #encrypted end-to-end between member devices, using Tor. Channels, Organize chats in Slack-like channels, so conversations don't get messy. Images, Send and receive images, with copy/paste, drag & drop, and image previews. Files, Send and receive files of unlimited size! Notifications, Invite links, Keyboard controls, Desktop apps Android, Quiet works on Android, and F-Droid support is on the way. #E2E#Chat#Quiet#Tor

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