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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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Bali News

@balinews · Post #306 · 01/30/2025, 09:25 AM

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🛕Project to save Balinese Uluwatu temple nears completion 🪨 A seawall project to combat cracks in the cliffs at the Pura Luhur Uluwatu temple in Pechatu village is almost complete. 🏗 Builders report that progress has reached 83% and completion is scheduled for early February 2025. 🌊 The project is facing major challenges due to the choppy ocean: work has now reached the headland at the very end, which is directly below the Luhur Uluwatu temple. ℹ️ This temple is one of the most famous religious sites in Bali, and it is also popular with tourists due to its scenic and spectacular location. After it was realized that the rock on which the temple is located was in danger of collapsing from erosion, a plan was devised to save the rock. @BaliNews #places#reconstruction#Pechatu

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