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Source channel @githubtrending · Post #14993 · Jul 24

#jupyter_notebook Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability. https://github.com/langchain-ai/rag-from-scratch

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Crypto M - Crypto News

@CryptoM · Post #65305 · 04/12/2026, 06:10 PM

🚀 CMDSS Employee Accused of Misappropriating $46 Million in Seized Digital Assets A federal indictment has been filed against John Daghita, an employee of CMDSS, accusing him of transferring approximately $46 million in seized digital assets from U.S. Marshals Service (USMS) wallets to wallets under his control. According to NS3.AI, Daghita was apprehended by French Gendarmerie officers on March 4 in Saint Martin. Prosecutors allege that these unauthorized transfers took place in December and January. The case has reignited concerns previously raised by the Department of Justice (DOJ) inspector general and industry participants regarding the vulnerabilities in the USMS's crypto custody controls, procurement processes, and audit systems. These issues highlight the need for improved security measures and oversight in handling digital assets. #CMDSS#JohnDaghita#USMS#digitalassets#crypto#seizedassets#fraud#misappropriation#federalindictment#FrenchGendarmerie#NS3AI#DOJ#cryptosecurity#vulnerabilities#audit#procurement#oversight