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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 #163 · 11/13/2023, 08:04 AM

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NIST Launches Consortium to Shape US AI Policies Hello, everyone! The National Institute of Standards and Technology (NIST) has initiated a consortium to address AI development and deployment challenges. The collaboration seeks to establish policies and measurements that prioritize human-centric AI safety and governance in the United States. The consortium will work on various aspects, including creating measurement and benchmarking tools, policy recommendations, red-teaming efforts, psychoanalysis, and environmental analysis. This move comes in response to an executive order issued by US President Joseph Biden, which introduced six new standards for AI safety and security. While other regions have been more proactive in regulating AI systems, the US is catching up. The AI consortium represents a significant step in shaping the future of AI policies in the United States through collaboration between government bodies, non-profits, universities, and tech companies. #NIST#AIConsortium#AIPolicies#USAIRegulation

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