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Source channel @githubtrending · Post #14826 · Jun 12

#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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djangoproject

@djangoproject · Post #221 · 01/05/2017, 12:51 PM

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https://github.com/tensorflow/tensorflow #TensorFlow is an open source software library for #numerical computation using data flow graphs. #Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow also includes TensorBoard, a data visualization toolkit.

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djangoproject

@djangoproject · Post #224 · 01/07/2017, 04:53 PM

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djangoproject

@djangoproject · Post #298 · 04/17/2017, 07:42 AM

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djangoproject

@djangoproject · Post #425 · 08/28/2017, 03:37 AM

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djangoproject

@djangoproject · Post #513 · 11/30/2017, 10:00 PM

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