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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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@englishmeta1 · Post #94 · 03/14/2022, 08:51 AM

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Learn to refuse! Such a skill can be useful to get away from pressure and extortion from manipulators, especially if you are a soft, compliant person and are afraid to refuse someone, even at the cost of your own comfort and peace of mind. Start with a softer option: “I don’t think”, “I won’t succeed”, “I can’t”. To begin with, it is important to understand that there is the very possibility of failure, then it will become easier. But in the end, you need to come to a firm “no” without explaining your refusal or justifying your decision to others.‌‌ *** Next post: Life Tips ♡ ㅤ ⎙ㅤ ⌲ 🔔 ˡᶦᵏᵉ ˢᵃᵛᵉ ˢʰᵃʳᵉ unmute #psychology#Selfdevelopment 📝 Requests: @Guidancee_bot ©@This_is_psychology

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