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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 #64492 · 04/09/2026, 03:04 AM

🚀 Mitsui OSK Lines to Review US-Iran Ceasefire Before Navigating Strait of Hormuz Japan’s Mitsui OSK Lines, a leading global shipping company, plans to closely examine the specifics of a ceasefire agreement between the United States and Iran before permitting its vessels to traverse the Strait of Hormuz. Bloomberg posted on X, highlighting the strategic importance of this waterway, which is a critical passage for global oil shipments. The company aims to ensure the safety and security of its operations in the region, given the historical tensions and potential risks associated with navigating this vital maritime route. Mitsui OSK Lines' decision underscores the cautious approach taken by major shipping firms in response to geopolitical developments that could impact international trade and shipping lanes. #MitsuiOSKLines#USIranCeasefire#StraitOfHormuz#globalshipping#internationaltrade#geopolitics#shippingsecurity#oilshipments#maritimeroute#Bloomberg