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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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@tonlines · Post #7062 · 05/06/2025, 09:54 AM
⚡️Wallet News: Launch of Bug Bounty Program #Wallet#HackerOne Wallet News announces the launch of a Bug Bounty program on HackerOne, inviting security experts to strengthen user security. Participants can earn up to $29,000 for valid vulnerability reports, contributing to a safer platform. Source: link @tonlines
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@CryptoM · Post #64672 · 04/09/2026, 01:25 PM
🚀 Circle's Arc Blockchain Opens Testnet Code Ahead of Mainnet Launch Circle's Arc blockchain has announced the release of its testnet code ahead of its mainnet launch. According to Foresight News, developers can now initiate testnet nodes and review the source code. Additionally, a bug bounty program has been launched on the HackerOne platform to enhance security measures. #CircleArcBlockchain#TestnetLaunch#MainnetLaunch#BlockchainDevelopment#BugBounty#HackerOne#SecurityMeasures#CryptoDevelopment