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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 #406 · 09/27/2024, 07:04 AM

New Article Highlights Europe's Dual Approach to AI: Human Rights vs. Market Regulation A recent article by Virginia Dignum, Director of the AI Policy Lab at Umeå University, sheds light on the evolving landscape of AI governance in Europe. The piece compares two pivotal frameworks: the newly introduced Council of Europe's Framework Convention on AI, Human Rights, Democracy, and the Rule of Law, and the EU's AI Act. The Council of Europe convention, open for signatures as of September 2024, emphasizes the protection of human rights, transparency, and accountability in all AI sectors. In contrast, the AI Act takes a more business-focused approach, offering clear regulatory guidelines with a risk-based model, particularly for high-impact sectors like healthcare. While the AI Act fosters innovation and compliance, the Council of Europe's broader focus aims to ensure AI upholds democratic values and the rule of law, signaling Europe's comprehensive strategy for ethical AI development. #AIRegulation#AIConvention#AIAct#EthicalAI#Transparency#Innovation

AI & Law

@ai_and_law · Post #46 · 07/04/2023, 07:04 AM

UK: Report calls for ethical AI future and robust governance The All-Party Parliamentary Group on Data Analytics in the UK has released a report titled "An Ethical AI Future: Guardrails & Catalysts to make Artificial Intelligence a Force for Good." The report aims to explore how an effective governance and regulatory framework can maximize the benefits of AI while addressing existing risks such as deep fakes and preparing for potential future risks. The report puts forth several key recommendations to shape the future of AI governance: 1️⃣ Strengthen international engagement. 2️⃣ Champion AI ethics convention. 3️⃣ Embedding 'Do No Harm' objective. 4️⃣ Establish independent regulatory authority. #EthicalAI#AIRegulation#Governance#AIConvention#Accountability