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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 #124 · 09/27/2023, 07:04 AM

UK: CMA Releases Principles for Responsible AI Development Hello, everyone! The Competition and Markets Authority (CMA) has unveiled a set of principles to ensure the responsible development and use of foundation models (FMs) in AI. Foundation models, like ChatGPT and Office 365 Copilot, are versatile AI systems poised to revolutionize various sectors. The CMA's report lays out these guiding principles, with a focus on safeguarding consumer protection and fostering healthy competition in the AI industry. As AI rapidly integrates into our daily lives, the CMA recognizes the need for proactive intervention. These principles aim to strike a balance between promoting AI's potential for innovation and ensuring consumer safety. The CMA's proposed guiding principles focus on crucial areas like accountability, access, diversity, choice, flexibility, fairness, and transparency. These principles aim to guide FM developers and deployers toward responsible AI development and use. The CMA plans to engage extensively with stakeholders to refine these principles further. Stay tuned for updates in early 2024 as they continue shaping AI markets for the betterment of all. #ResponsibleAI#AIRegulation#ConsumerProtection#Competition#FoundationModels#CMAAIprinciples