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

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