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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 #3848 · 01/11/2025, 01:00 PM

200M for Email Simplification App! In 2013, a startup created a user-friendly email app to combine personal and work emails, reducing clicks to complete tasks. Microsoft acquired the app for $200 million after 18 months. Initially, it reached 3 million users at launch, soaring to hundreds of millions three years later. The founder emphasized a goal to simplify, not reinvent, email—echoing Dropbox's approach of enhancing existing solutions. Glassnode notes a 49.6% increase in new investors controlling bitcoin supply, with long-term holders redistributing assets, though it's not seen as a bearish signal. Insights from tech analyst Ali Martinez suggest declining hype around AI agents, affecting specific token prices. Polymarket users estimate a 12% chance the US government will sell seized BTC before Trump's inauguration, with $6.5 billion at stake. #Email#Microsoft#Startup#Acquisition#Usability#Glassnode#Bitcoin#Investors#Crypto#AI#MarketTrends#Polymarket#BTC#Trading#Innovation#TechNews#VC#Fundraising#TechAnalytics#Distribution