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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 #3441 · 12/19/2024, 10:24 AM

YouTube Issues and Economic Updates 🔧 Users in Russia report ongoing issues with YouTube, marking another decrease in platform traffic, as confirmed by Google. 📊 The Russian Communications Ministry (RKN) plans to acquire data on user attempts to access blocked sites, though it already collects some relevant data. ⚙️ The Ministry of Economic Development aims to increase processing limits to enhance labor market flexibility amid personnel shortages. 📈 Predictions suggest the information security market in 2024 could grow by 30% to reach 593 billion rubles, though other estimates are lower. 📺 Yandex is negotiating with Haier, TCL, and Huawei for the installation of its OS on all their TVs supplied to Russia. 💰 AI search engine Perplexity successfully raised $500 million at a valuation of $9 billion, a significant increase from its earlier valuation of $1 billion. 🇺🇸 In the US, an investigation has been initiated against TP-Link over national security concerns, as they hold 65% of the domestic router market. #YouTube#RKN#EconomicDevelopment#MarketGrowth#InformationSecurity#Yandex#Perplexity#Funding#TPLink#NationalSecurity#Russia#TechNews#AI#Router#Television#DataPrivacy#UserExperience#TrafficIssues