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Source channel @githubtrending · Post #14826 · Jun 12
#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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@CryptoM · Post #65424 · 04/13/2026, 07:11 AM
🚀 PRECIOUS METALS | Gold and Silver Call Options Show Cautious Sentiment Gold call options continue to be positioned for an upward move, although enthusiasm for betting on a significant rise remains moderate. According to Jin10, silver call options exhibit a more cautious stance, with limited bets placed on substantial upward movements. #preciousmetals#gold#silver#calloptions#cautioussentiment
@CryptoM · Post #64702 · 04/09/2026, 03:05 PM
🚀 Bitcoin Call Options Surge with $80,000 Strike Price Bitcoin call options with an $80,000 exercise price for the end-of-June expiry have reached over $1.6 billion in notional open interest, marking the largest concentration among strike prices. According to NS3.AI, this development reflects traders' anticipation of significant price movements, as evidenced by the rise in implied volatility. #Bitcoin#CallOptions#StrikePrice#OpenInterest#Volatility#Cryptocurrency#Trading#BitcoinOptions#BTC