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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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Peach and Goma

@PeachLovesGoma · Post #2683 · 05/24/2025, 01:39 PM

Have you used the new stickers? 👩‍🦰 Here are some wallpapers ʚ(◜𖥦◝ )ɞ #wallpapers@peachandgoma

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MB4K_Tech

@MB4K_Tech_Telegram · Post #2535 · 10/20/2023, 06:12 AM

Buongiorno ragazzi, oggi proviamo una tipologia di #wallpapers che a me personalmente piace moltissimo! 😍 Neon Street, fatemi sapere cosa ne pensate lasciando una reaction. 👾

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MB4K_Tech

@MB4K_Tech_Telegram · Post #2512 · 10/12/2023, 06:31 AM

Buongiorno amici, oggi dalle mie parti e finalmente e arrivato l'autunno e con se la prima nebbia, entriamo nel mood anche con i #wallpapers.🍂 non dimenticatevi la reaction!😉e

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