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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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EnergoMenejer

@energomenejer · Post #1275 · 10/01/2025, 01:45 AM

Muhtaram ustoz va murabbiylar! Ta’lim-tarbiya sohasining barcha jonkuyar xodimlarini umumxalq bayrami — O‘qituvchi va murabbiylar kuni bilan chin qalbimdan tabriklayman. Ushbu qutlug‘ ayyomda siz, zahmatkash ustozlarga ko‘nglimizda, bo‘lgan yuksak hurmat-ehtirom va ezgu tilaklarni so‘z bilan to‘liq ifoda etish qiyin, albatta. Bebaho boylik va boqiy merosni yaratish, uni xalqimizga, unib-o‘sib kelayotgan yosh avlodimizga bezavol yetkazish yo‘lida chinakam fidoyilik ko‘rsatib mehnat qilayotgan ulug‘ insonlarsiz. #ustoz#ustozlar#murabbiy#usta#shogird#bayram#uzbek#trend https://www.instagram.com/reel/DPP50ZPCOTC/?igsh=d3dwMW13dGp3YXM2