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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 #102 · 05/29/2022, 09:49 PM

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⚡The American majority is deeply shocked by the tragedy that occurred in Uvalde. It is impossible to even imagine the horror that the children and their parents experienced. If we have $40 billion to give to Ukraine, why then we can't afford a likewise amount for schools' security? Crazy Brandon cares more about his money laundering schemes rather than Americans kids. They wonder why police aren't respected anymore. It's because when they're not kneeling for BLM, they're driving around in rainbow flag cars. Uvalde police simply refused to protect their own citizens. Instead parents trying to save children were handcuffed by the same police that were supposed to be saving the kids. What man would not be willing to sacrifice his life to protect such precious lives? Such cowardice is completely devoid of comprehension. You need to know these names. Share this list with journalists or congressmen you trust. Let them ask the questions. #Uvalde#police#shooting Share and subscribe @american_majority

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