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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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Venture Village Wall 🦄

@venturevillagewall · Post #4195 · 02/20/2025, 01:00 AM

Trump Family Enters SEI Market 🚨 The Trump family project, World Liberty, has acquired 547,990 SEI for $125,000 via Cow Protocol. This transaction was monitored by Arkham on February 20, 2025. Additionally, President Trump has expressed commitment to making America the crypto capital and is considering distributing part of Elon Musk's DOGE savings to the public and for debt repayment. The SEC has also filed to permit staking for the 21 Shares spot ETH ETF. Other notable activities include the burning of 50 million USDC and the transfer of 50 million FRAX to a burn address. 👉Transaction Details 👉USDC Burn Details 👉FRAX Transfer Details #Crypto#Trump#SEI#USDC#FRAX#Dogecoin#ETH#SEC#Aave#Blockchain#Finance#Investment#TokenBurning#ElonMusk#Markets#Regulations#Governance#Wallets#Treasury#Innovation