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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 #4340 · 03/08/2025, 01:00 PM

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Multiple Startups Secure Funding in March In March 2025, several startups raised significant funding: - Raywatt: $5.87M - welevel: $5.70M - Conveo: $5.30M, offering AI-led research automation. - Intangible: $4M, focusing on 3D creative tools. - PhaseTree: $3.24M, specializing in materials design simulation. - FutureVault: $3M, enhancing digital vault technology. - Insurevision.ai: $2.70M for InsureVision solutions. - GovEagle: $2.50M for AI compliance tools. - FortyTwo: $2.30M, creating a decentralized AI network. - Jingyi Jingce: $1.38M for Fiber Optic Pipe monitoring. #Funding#Startup#AI#Tech#Research#3D#Simulation#DigitalVault#Compliance#Decentralized#GenerativeAI#FiberOptics#Innovation#Investments#Capital#VentureCapital#Entrepreneur

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