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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 #3507 · 12/19/2024, 03:57 PM

Monad Ecosystem's Rising Interest The Monad blockchain ecosystem is gaining attention ahead of its launch, focusing on community engagement and innovative projects. Key highlights include: - Event: Demo day showcased 20 projects, co-hosted by Paradigm with a $750k prize pool. - Projects: Noteworthy initiatives included: - Kizzy: A mobile betting platform based on Twitter events. - Sparkball: A team strategy game soon on Steam. - LootGO: A Walk2Earn project, previously overlooked. - Pulse: A health-monitoring bracelet securing $1.8M funding. - Community and Hype: Founders cite strong community support as a major attractor to Monad. - Future Vision: Excitement surrounds Monad’s upcoming testnet and potential partnerships with platforms like TON. #Blockchain#Monad#Crypto#Web3#Gaming#Social#Fundraising#EVMcompatible#Paradigm#DemoDay#Kizzy#Sparkball#LootGO#Pulse#NEOWIZ#Ethereum#Funding#TokenLaunch#Community#Hype