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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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Crypto M - Crypto News

@CryptoM · Post #64840 · 04/10/2026, 03:19 AM

🚀 AethirOFTAdapter Exploited for Over $400K, Funds Bridged to TRON PeckShieldAlert posted on X that the AethirOFTAdapter has been exploited, resulting in a loss exceeding $400,000. The perpetrator has transferred the stolen funds from the BNB Chain to the TRON network using symbiosis.finance. The funds are currently held in two TRON addresses: TNC4wgK518RZdZVa6NPZLnqy6FEswA4G15 and TL38ssgWktRRfhdjGEyfVkPD8CdP2UPq18. The incident highlights ongoing vulnerabilities in blockchain systems, emphasizing the need for enhanced security measures. AethirCloud and AethirEco have been tagged in the alert, indicating their potential involvement or interest in the situation. Further investigations are likely underway to track the movement of the funds and identify the exploiter. #AethirOFTAdapter#Exploitation#BlockchainSecurity#TRON#BNBChain#SymbiosisFinance#PeckShieldAlert#CryptoTheft#SecurityVulnerabilities#AethirCloud#AethirEco