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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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Quiet World 🍁

@QuietWorld · Post #7015 · 12/01/2019, 08:31 AM

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🍂 something you dislike happened? you couldn't get something you wish for? you have been disappointed and someone hurt you? you lost someone? you failed at something you hope you're good at? and you feel sad about it? then be so. feel sad. be sad. cry if you must. cry your heart out. let it out. it heals to cry. it heals to allow yourself to feel things; be human. because yes it is difficult to go through those things. & that doesn't mean that you are weak. to feel those feelings are not a sign of weakness at all ; just that we are human, we are born with the ability to feel those emotions. your strength is not determined by your ability to suppress emotions, but by your ability to overcome it; by not letting it controls yourself longer than it should be. there's light at the end of the tunnel if you keep going. #thoughts#notetoself#selfreminder#strength#positivity#sadness#motivation @quietworld🍃

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