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Source channel @githubtrending · Post #14676 · May 6

#jupyter_notebook#agentic_ai#agents#course#huggingface#langchain#llamaindex#smolagents The Hugging Face Agents Course is a free, interactive course that teaches you how to build and deploy AI agents. It's divided into four units, starting with the basics of agents and ending with a final project where you create and test your own agent. You'll learn about frameworks like `smolagents`, `LangGraph`, and `LlamaIndex`, and how to use large language models (LLMs) in your agents. The course benefits you by providing hands-on experience and practical skills in AI agent development, helping you become proficient in creating and deploying AI agents. https://github.com/huggingface/agents-course

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AI & Law

@ai_and_law · Post #202 · 12/28/2023, 08:04 AM

USA: New Bill Proposes Transparency Rules for AI Training Data Hello everybody! In US a new AI Foundation Model Transparency Act have been introduced. The aim is to ensure transparency in the usage of copyrighted data in training AI models. Companies developing foundation models must reveal the sources of their training data. This move is geared towards informing copyright holders if their data has been utilized. The bill tasks the Federal Trade Commission (FTC) to collaborate with the National Institute of Standards and Technology (NIST) in establishing rules for reporting training data transparency. Companies must disclose the origin of training data, how it's retained during inference, model limitations or risks, alignment with NIST’s AI Risk Management Framework, and adherence to federal standards. AI developers are required to report efforts to "red team" the model, especially in areas like medical queries, cybersecurity, elections, and services impacting vulnerable populations. This bill complements the Biden administration’s AI executive order, reinforcing the push for standardized reporting in AI models. The bill is yet to go through committee discussions, and its fate before the election campaign season remains uncertain. #AIlaw#CopyrightData#Legislation#TechNews#AIRegulation