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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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Venture Village Wall 🦄

@venturevillagewall · Post #4181 · 02/18/2025, 01:00 PM

Crypto Scandal: LIBRA's Dramatic Fall Dave Portnoy attempts to buy tokens after repurposing LIBRA, mistakenly investing $200K in a fraudulent version, which plummeted 93%. Meanwhile, President Javier Milei faces allegations of fraud linked to the LIBRA token. A lawsuit by Argentine lawyers cites the former Central Bank head. CEO Hayden Davis of Kelsier Ventures blames insider selling for the crash. Investigations are ongoing amidst claims of insider knowledge in the token launch. For more insights, check the full news: Forklog News. #Crypto#Argentina#Libra#Miley#Scandal#Failure#InsiderTrading#Lawsuit#Kelsier#Token#Blockchain#Finance#Investigation#HaydenDavis#Fraud#News#Market#Trends#Regulations#DeFi