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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 #3882 · 01/15/2025, 10:00 AM

Multiple Fundraising Rounds Announced Several companies secured funding recently: - OpenCopilot raised $1.52M for AI customer support. - Archive Intel secured $1.50M for AI-driven data archiving solutions. - Serene obtained $1.14M using AI for customer insights and compliance. - Sytrex raised $1.10M to aid financial institutions. - Tire Swing acquired $500K focusing on cybersecurity. In other news, the SEC sues Elon Musk over misleading shareholders during the Twitter acquisition, and Meta plans to lay off 3,600 employees for inefficiency. More updates on AI job creation and Bitcoin market analysis suggest significant changes ahead. #Funding#AI#Crypto#SEC#ElonMusk#Meta#Bitcoin#CustomerSupport#DataArchiving#FinancialInstitutions#AIJobs#LayerZero#Serene#Sytrex#TireSwing#ArchiveIntel#OpenCopilot