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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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EdgeMarket.AI 📣

@edgemarketai · Post #8024 · 03/09/2026, 06:12 PM

Everyone is asking the same thing 👀🔥 Could June 14 become the most unexpected crossover event in modern media? Not because of sport alone. Because when politics + spectacle + attention collide, probability moves fast. This is where EdgeMarket watches signal before certainty. What starts as a joke online sometimes becomes the next major headline. Would you rate this impossible… unlikely… or already moving? 📊⚡ #EdgeMarket#AI#FutureSignals#NarrativeShift#June14

​NO Kings ​🚫👑

@No_king_No_King · Post #164 · 04/11/2026, 09:55 AM

just another classic move where high stakes overseas drama is used to flip the script and distract everyone from what is actually going on back home but the truth is the plan failed and things are right back where they started because you can only run from reality for so long before it catches up to you #PoliticalStrategy #NarrativeShift #RealityCheck #ForeignPolicy #zeroprogress ✈️https://t.me/No_king_No_King