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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 #3796 · 01/05/2025, 10:00 AM

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Funding Rounds and Crypto Insights 🔍Funding Highlights: 1️⃣Equator - $5M round focused on climate transition in Sub-Saharan Africa. 2️⃣Jentic Technology - $4.14M round for AI integration with APIs. 3️⃣Flint - $2M round inspired by nature. 4️⃣Neovici - $997.05K round for AI in finance. 5️⃣Sushidata - $150K round for user feedback analysis across platforms. ✨Michael Saylor plans to burn his Bitcoin after death, raising concerns among investors. 📈Holdstation sees over $10M in trading volume on ZKSync, expanding to Berachain. 📊Deribit reports strong BTC performance and ETF inflows. Full reports: ZKSync, Deribit Insights #Funding#Equator#Jentic#Flint#Neovici#Sushidata#MichaelSaylor#Bitcoin#BTC#Crypto#Trading#AI#Finance#ETFs#ZKSync#Innovation#Investors#Tech#VC

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