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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 #4102 · 02/08/2025, 10:00 PM

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SSI Negotiates $20 Billion Funding Round Ilya Sutskever's company, SSI, rapidly grew to a $5 billion valuation within three months of its launch last summer. Current reports suggest negotiations for a funding round that could value it at $20 billion. Remarkably, SSI has no plans to release any products soon, opting to skip intermediary steps to achieve 'safe superintelligence'. Details about what Ilya is showcasing to potential investors remain unclear. Read more: Reuters Article #SSI#IlyaSutskever#Funding#Investment#Superintelligence#TechGrowth#AI#Valuation#Investors#Innovation#ProductDevelopment#IndustryNews#Technology#VentureCapital#Startups#BusinessNews#MarketTrends#Crypto#VC

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