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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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@gemscrypto100x · Post #1927 · 11/11/2025, 10:50 AM
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@binancebigpumpsignalsfuture · Post #2676 · 05/05/2025, 06:03 AM
It might look a little confusing at first, but pay attention. On this chart we have DXY, GOLD and BTC. DXY, which is a representative chart of the USD, has an inverse relationship with GOLD and BTC. This is because when the dollar is strong, big money moves into high interest bonds that are safe. When the dollar weakens, big money moves into safe havens and riskier assets. What we can firstly see on the chart is that every time DXY drops, GOLD almost instantly moves higher. Secondly, we can see that BTC also moves higher, but it lags behind GOLD. But that’s not the most interesting thing… The most interesting thing here is that every single time DXY has entered a down trend, BTC has began its move between 133 days and 140 days later. This time, that gives us an end of May date as to when BTC will begin its next true move higher. It’s just facts, right there for you to see. #CryptoSignal#Binance#PumpAlert#FuturesTrade
@binancebigpumpsignalsfuture · Post #2720 · 05/07/2025, 12:32 PM
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