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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 #4304 · 03/04/2025, 01:00 PM

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Funding Round Highlights: March 2025 🚀Merchkit: $1.40M for automating merchandising tasks. More info 💰Brick Seguros: Raised $865K to optimize fraud and underwriting. More info 📈Belong: $605.28K for personal finance platform. More info 🔬GIANT BioSystems: Additional $305K raised. More info 🤖Couplr: $250K for AI-driven financial advisor matching. More info 🌦️Beyond Weather: $207.78K to utilize AI for weather predictions. More info ⚡Acki Nacki: High-speed Layer 1 blockchain secures $6M led by Kingsway Capital. 🏦Flowdesk: Crypto market maker raises $52M in Series B led by HV Capital. 🎉Dev fun: Meme-focused launchpad received undisclosed funding from Colosseum. 🌌FastLane Labs: Hybrid MEV protocol raised $6M led by Figment Capital. #Funding#Merchkit#BrickSeguros#Belong#GIANTBioSystems#Couplr#BeyondWeather#AckiNacki#Flowdesk#DevFun#FastLaneLabs#Crypto#Blockchain#AI#VC

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