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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 #64918 · 04/10/2026, 09:28 AM

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🚀 Goldman Sachs Highlights Undervaluation in Global IT Sector Goldman Sachs has identified the global IT sector as undervalued following a significant decline in its valuation premium. According to NS3.AI, analysts at Goldman Sachs noted that the sector is currently trading at a lower price-to-earnings ratio compared to consumer discretionary, consumer staples, and industrials. They also pointed out that earnings revisions in the tech sector are more robust than in other sectors. However, they cautioned that tighter credit conditions or reduced revenue from hyperscalers could impact the sector's spending returns. #GoldmanSachs#ITsector#undervaluation#valuation#techsector#earningsrevisions#creditconditions#hyperscalers#consumerdiscretionary#consumerstaples#industrials

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