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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 #417 · 10/11/2024, 07:04 AM

AI Copyright Lawsuit: A New Era of Dataset Transparency? In a groundbreaking move for AI copyright disputes, a judge has permitted authors' representatives to inspect OpenAI's confidential training dataset under strict conditions. This decision could set a precedent for how training data is scrutinized in future legal battles over AI-generated content. The inspection is to be conducted in a highly controlled environment—either at OpenAI’s San Francisco office or a secure location within a 25-mile radius. A secured, internet-free computer will be provided, containing a README file with a directory of the data. The inspection room bans recording devices, although a note-taking computer can be provided under supervision, ensuring that sensitive data remains protected. Only individuals qualified under the protective order can access the data, emphasizing the heightened confidentiality. This level of transparency and rigor in examining training data might become a standard in AI litigation. As AI technology continues to reshape industries, balancing innovation with intellectual property rights will require similar measures to ensure fairness and accountability. #AICopyright#TransparencyInAI#AIRegulation

AI & Law

@ai_and_law · Post #197 · 12/22/2023, 08:04 AM

CAI Unveils Public "Zero Draft" for AI Framework Convention Greetings AI & Law community! The European Committee on Artificial Intelligence (CAI) has announced the public release of the revised "Zero Draft" Framework Convention on Artificial Intelligence, Human Rights, Democracy, and the Rule of Law. Key Points: 1️⃣ The "Zero Draft" serves as the foundational document for drafting the Framework Convention and is not the final outcome of CAI negotiations. 2️⃣ A Consolidated Working Draft has been prepared based on the first reading of the revised Zero Draft, containing preliminary agreements and proposals for further negotiations. 3️⃣ The text which is not in brackets and in red font is considered to be preliminarily agreed. 4️⃣ The CAI Bureau has decided to make this document public, providing transparency into the ongoing process. The recently released Draft Framework Convention, based on outcomes from the second reading, will be the focal point for the upcoming 9th Plenary meeting. Notably, provisions under negotiation include the Scope, Risk and impact management framework, and the Conference of the Parties. #AIlaw#CAI#AIregulation#FrameworkConvention#TransparencyInAI