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Source channel @githubtrending · Post #14826 · Jun 12

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#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data. https://github.com/FareedKhan-dev/all-rag-techniques

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

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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

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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

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

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