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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 #64563 · 04/09/2026, 08:14 AM

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🚀 Disney Cuts 1,000 Jobs Amid $7 Billion Buyback Goal Disney has announced the elimination of 1,000 positions as part of a workforce reduction strategy linked to its $7 billion stock buyback initiative. According to NS3.AI, the layoffs are primarily affecting marketing and corporate teams under the banner of Project Imagine. Chief Marketing Officer Asad Ayaz stated that this project aims to consolidate Disney's marketing efforts across film, television, and streaming platforms. Additionally, Josh D’Amaro, who is overseeing the workforce trim, revealed that Disney plans to allocate $60 billion over the next decade towards enhancing its theme parks and experiences. #Disney#jobcuts#stockbuyback#workforcereduction#marketing#corporate#ProjectImagine#themeparks#investment#layoffs#corporatestrategy

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