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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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Crypto News & Web3 Events | TON Ecosystem

@tonevents_en · Post #955 · 10/29/2024, 07:39 AM

🎉Catizen x Zircuit Launchpool is Live We're excited to announced launch Zircuit (ZRC) as the inaugural project on the Catizen Launchpool!🎆🪙 How to Earn ZRC? 💰 Stake CATI and Cats to Earn ZRC: Zircuit is an AI-secured, Zero-Knowledge Layer 2 solution, fully #EVM-compatible, and supported by #BinanceLabs, #Pantera, #DragonflyCapital, among others. With $1.8B in TVL and a new liquidity hub, early adopters are in for a rewarding journey! Launchpool Details: • Period: 2024-10-28 00:00 (UTC) to 2024-11-04 00:00 (UTC) • Token Name: $ZRC • Total Supply: 10,000,000,000 ZRC • Token Rewards: ≈$1,500,000 in ZRC • Launchpool Allocation: 8,333,333 ZRC Pool Information 🪙CATI Pool: • Reward Proportion: 85% • Reward Amount: $1,275,000 in ZRC • Stake Range: 1 to 2000 CATI • Settlement: Every hour based on staked CATI share 😺Cat Pool: • Reward Proportion: 15% • Reward Amount: $225,000 in ZRC • Eligibility: Cats above level 300 only • Settlement: Hourly, with levels converted to USD for calculations 🐾Don’t miss out on this incredible chance to grow your rewards with Zircuit! This is just the beginning of their ambitious plan to enhance CATI token value✨ #TON#CATI#Pool#Zircuit