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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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America 🇺🇸 News & Politics

@America · Post #10083 · 11/10/2025, 02:38 AM

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😄Above ➖➖➖➖➖➖ 🔘 Above is used to show that something is in a higher position than something else. 🔜 My flat is above a Chinese restaurant. 🔘 Above also means more than a level or amount. 🔜 Your cooking is above what I expected. 🔘 Use above if you're talking about a person in a more advanced position than someone else. 🔜 She thinks she's above me, but I got a better score in the test! #Above👨‍🏫@America ➖➖➖➖➖➖➖➖➖➖➖➖ 🆕 Crypto News @Money 😁 Crypto Game @Egame 🇺🇸 US News @America 🇯🇵 Japan News @Japan 🇦🇪 UAE News @Dubai ▶️ Popular Movies @Videos 😜 Best Funny Video @Funnys

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