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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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Interesting Planet 🌍

@interesting_planet_facts · Post #784 · 09/20/2025, 12:22 AM

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🌎 The discovery of radioactivity in 1896 by Henri Becquerel revealed that uranium salts emit invisible energy. This led to the identification of new elements like polonium and radium by Marie and Pierre Curie. Their work contributed to the development of X-ray machines and atomic science. The Curies isolated just 1 gram of radium from 8 tons of ore. ✨ #radioactivity⚡#discovery⚡#inventions 👉subscribe Interesting Planet

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Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40412 · 12/26/2025, 03:02 AM

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On July 18, 1898, Marie and Pierre Curie discovered polonium, named after Marie’s homeland, Poland. On December 26, 1898, they announced the discovery of radium, with help from Gustave Bémont. These were two new chemical elements that helped scientists learn more about radioactivity. ⚛️ [Source] @googlefactss #MarieCurie#Polonium#Radium#ScienceHistory#Radioactivity

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