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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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Dr Sherri Tenpenny

@SherriTenpenny · Post #23951 · 01/14/2026, 05:08 AM

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In the past, #Rennet was historically extracted from the fourth stomach of young calves; however, there are now different techniques of production by genetically modified organisms (recombinant chymosin) and the use of other enzymes that have a proteolytic profile with good activity at pH and temperature for cheese making. DYK - Over 90% of the cheese made in the US is made by using a GMO rennet created by Pfizer. https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/rennet Sources of non GMO cheese:🧀👇 https://www.saputocheeseusa.com/en/ingredients/our-products/organic-nongmo-cheese #cheese#GMOs#Chymosin#organiccheese#NONGMOcheese#PfizerCheese#PfizerPoison 🔹👉🏻@SherriTenpenny

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