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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 M - Crypto News

@CryptoM · Post #65393 · 04/13/2026, 04:50 AM

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🚀 1 Billion DOT Minted and Sold on Ethereum and Polkadot Networks PeckShieldAlert posted on X that a significant amount of 1 billion DOT tokens were minted and subsequently sold on the Ethereum and Polkadot networks. This development has raised concerns within the cryptocurrency community regarding the potential impact on the market value of DOT tokens. The minting and selling activities were observed on both networks, highlighting the interconnected nature of blockchain platforms. The implications of this large-scale transaction are yet to be fully understood, as stakeholders assess the potential effects on the market dynamics of DOT. #1BillionDOT#Ethereum#Polkadot#cryptocurrency#marketimpact#PeckShieldAlert#blockchain#DOTtokens#crypto#minting#selling#marketdynamics

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