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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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@QQZYDAPP · Post #3916 · 08/31/2025, 03:31 PM

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Universe Mysteries 🪐

@cosmomyst · Post #626 · 01/19/2026, 12:21 PM

🪐 One of the most famous searches for alien life involves listening for signals from the direction of Tabby’s Star (KIC 8462852), a real star in the constellation Cygnus known for its strange, unpredictable dips in brightness. Scientists at the SETI Institute have pointed sensitive radio telescopes at Tabby’s Star, searching for artificial signals that could suggest advanced technology, but so far, no evidence of extraterrestrial messages has been found—leaving the nature of the star’s odd behavior a true cosmic mystery. ✨ #aliens⚡#SETI⚡#Tabby⚡#nasa⚡#galaxy⚡#stars⚡#astronomy⚡#universe⚡#cosmos⚡#space 👉subscribe Universe Mysteries 👉more Channels ​