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Source channel @githubtrending · Post #14826 · Jun 12

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#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data. https://github.com/FareedKhan-dev/all-rag-techniques

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@premium_trading_crypto_signals · Post #3256 · 03/26/2024, 11:55 AM

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#GAL price is forming a wedge pattern. Its upward trend has slowed down and if the price can break the pattern downwards, it can dump up to $4.4. @Altcoin_Charts

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@signal_bitcoins · Post #2713 · 02/08/2024, 04:36 PM

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#GAL price is too close to the supply zone on 3D Time frame,we expect a good correction from this area 📉 ❄️@signals_bitcoin_crypto❄️ ❄️@Shadow_support0o❄️

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