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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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Crypto

@signal_bitcoins · Post #1883 · 12/17/2023, 07:38 AM

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💰#WAVES is trying to break up the triangle pattern on Weekly Time frame,in the case of breakout we will have another good pump💎 ❄️@signals_bitcoin_crypto❄️ ❄️@Shadow_support0o❄️

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@signal_bitcoins · Post #1468 · 09/09/2023, 09:00 PM

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💰#WAVES is moving in a descending triangle. It bounced from the horizontal support with a decent volume. Currently, it is facing the MA 50 resistance. MACD crossover is losing bearish momentum and seems like it is going to turn bullish. A solid breakout of the descending triangle would be the bullish confirmation.💎 ❄️@signals_bitcoin_crypto❄️ ❄️@Shadow_support0o❄️

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