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Source channel @githubtrending · Post #14993 · Jul 24

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#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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SG MRT Updates

@sgmrt · Post #1882 · 02/08/2024, 01:39 AM

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[CCL] UPDATE: Due to a signal fault, please continue to add additional 10 minutes travel time between #Stadium and #PayaLebar. You may consider alternative means of transport. - SMRT

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#stadium#payalebar
SG MRT Updates

@sgmrt · Post #1425 · 04/01/2022, 04:41 AM

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[CCL] CLEARED: Train services between #Stadium and #Bartley have resumed. Free regular bus & free bridging bus svcs have ended. - SMRT

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#stadium#bartley
SG MRT Updates

@sgmrt · Post #1693 · 04/07/2023, 07:02 AM

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[CCL]: Pls add 40mins of train travel time between #DhobyGhaut/#MarinaBay and #Stadium. Our engineers are on site to conduct the recovery operations. Free regular bus and free bridging bus svcs are available. - SMRT

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#dhobyghaut#marinabay#stadium
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