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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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BadVolf

@BadvolfNews · Post #897 · 09/24/2023, 07:45 PM

💣💥 Chief of the Press Center of the "South" group, Georgy Minesashvili, revealed to TASS that airstrikes were launched on 23 enemy districts in the Donetsk direction. 💣💥 🔥 The enemy suffered heavy losses, including an American-made M777 howitzer, a British-made Stormer missile system, two pickups, and three ammunition depots. Also destroyed were a UAV control center and an observation post. 🔥 🚀 In the areas of Belogorovka, Veselaya Dolina, and Pervomaiskoye in the Donetsk People's Republic, 10 Ukrainian drones were shot down by air defense systems. 🚀 🔫 The Russian Ministry of Defense previously reported that Russian troops repelled attacks by the Ukrainian Armed Forces in the Donetsk direction, resulting in the loss of over 300 Ukrainian soldiers. 🔫 🛡️ Earlier in Russia, a new drone suppression system was developed. 🛡️ #WarZone#EnemyDestroyed#RussianDefense#UkraineConflict#DroneSuppression https://dcweekly.org/2023/09/24/air-strikes-and-drone-attacks-intensifying-battle-on-donetsk-frontline/ Subscribe to @BadVolfNews