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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 #4111 · 02/10/2025, 07:00 AM

Arweave AO Live, CAR Meme Token Launch Arweave’s computing platform AO is now active on its mainnet, enhancing decentralized applications. More info: The Block. In crypto news, the President of the Central African Republic, Faustin-Archange Touadéra, announced the launch of a meme token named CAR, reaching a market cap close to $900 million shortly after release. However, the token's legitimacy is questioned due to reported hacks and potential issues with its announcement video being AI-generated. Further details: Forklog. Analysts forecast significant declines for new token issuances, expecting drops of over 80% post-listing. Read more: Wu Blockchain News. #Arweave#DeFi#Crypto#Token#Market#Launch#CentralAfricanRepublic#MemeToken#Touadera#AI#Analyst#Predict#Listing#Invest#Blockchain#Ethereum#ETH