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Source channel @githubtrending · Post #14909 · Jul 3

#other#agent#llm#rag Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research. https://github.com/datawhalechina/happy-llm

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AI & Law

@ai_and_law · Post #408 · 10/01/2024, 07:04 AM

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FTC Takes Action Against DoNotPay Over Misleading AI Lawyer Claims The Federal Trade Commission (FTC) has initiated action against DoNotPay, which claimed to offer "the world’s first robot lawyer." Despite bold promises to revolutionize legal services, DoNotPay failed to match the expertise of human lawyers. The FTC alleges that the company’s AI service could not generate valid legal documents or substitute for professional legal counsel, as claimed. The proposed settlement requires DoNotPay to pay $193,000 and prohibits misleading claims about AI capabilities without supporting evidence. This case serves as a reminder that AI-based services must be held to the same rigorous standards as professional industries. #AIRegulation#LegalTech#AIEthics#FTCRuling#ConsumerProtection

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