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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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Masyanyarus Life

@masyanyarus_art · Post #2500 · 02/12/2025, 06:45 PM

Всем спасибо за просмотр! Рисунок закончим завтра❤️ Надеюсь 😬 #wip

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Sabertoof's Arts!

@artbysabertoofs · Post #644 · 05/13/2026, 05:14 PM

An icon WIP for Akyon! 💙 Thank you so much for your patience! I am loving the toofy grin (with slight blep) :3 #wip

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Sabertoof's Arts!

@artbysabertoofs · Post #640 · 05/09/2026, 03:43 PM

Sketching out an icon for Fiddler! Thank you very much! ❤️ #wip

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Sabertoof's Arts!

@artbysabertoofs · Post #633 · 05/07/2026, 12:23 AM

WIP from tonight! Slowly getting my gears going! For Kenshi! #wip

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