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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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@ITmastersuz · Post #12322 · 08/13/2025, 10:50 AM

Duolingo uchun raqobatchi chiqdi — yangi til o‘rgatuvchi LangAI, u samarali ravishda tillarni o‘rgatadi. Bu feyk emas, balki o‘zining puxta o‘ylangan o‘quv dasturiga ega to‘liq raqobatchi. ⚡️ Birinchi — istalgan tildagi eng kerakli 1000 ta so‘z. ⚡️ Keyin esa — faqat jonli amaliyot bo'ladi. ⚡️ Suhbat mashqlari: matn yoki ovoz orqali javob berish mumkin. ⚡️ O‘zingizga mos darajani tanlaysiz. ⚡️ Har bir xatoni tahlil qilib, tushuntirib berishadi. ⚡️Google Play | App Store 👍Bizning barcha loyihalar | #learning

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Elf Crypto VIP

@elfcryptovip · Post #12109 · 10/09/2025, 09:31 AM

TradingView keyboard shortcuts #Learning https://www.tradingview.com/charting-library-docs/latest/getting_started/Shortcuts/

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Elf Crypto VIP

@elfcryptovip · Post #11965 · 09/18/2025, 10:05 AM

Liquidity Sweep combined with Divergence can be very powerful in predicting a potential reversal 🔄 #Learning

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