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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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Venture Village Wall 🦄

@venturevillagewall · Post #4278 · 03/01/2025, 01:00 PM

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CME Launches Solana Futures on March 17 CME Group, the largest derivatives exchange, plans to launch cash-settled Solana (SOL) futures on March 17, 2025, pending regulatory approval. The offering will include micro contracts (25 SOL) and standard contracts (500 SOL) to attract both retail and institutional traders, aiming to enhance market legitimacy and liquidity. This follows a 73% growth in crypto trading volume. Additionally, several futures-based ETFs linked to Solana await SEC approval. Market responses and regulatory decisions are critical as the launch date approaches. Read more: CME Group News #CME#Solana#Futures#Crypto#ETFs#SEC#TradFi#MicroContracts#InstitutionalInvestors#Volatility#Liquidity#MarketLegitimacy#BTC#ETH#SOL#Investment#Trading#MarketTrends#CryptoVolume#USDD#WhaleAlert

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