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Agentic AI MOOC | UC Berkeley CS294-196 Fall 2025 | Training Agentic Models by Weizhu Chen
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Agentic AI MOOC | UC Berkeley CS294-196 Fall 2025 | Multi-Agent AI by Noam Brown
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Automating scientific discovery and hypothesis generation with language model agents
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Andrew Ng: Building Faster with AI
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Dawn Song: Professor at UC Berkeley: Safe & Secure Agentic AI | GTP 2026
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Agentic AI MOOC | UC Berkeley CS294-196 F25 | Multi-Agent Systems in Era of LLMs by Oriol Vinyals
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Agentic AI MOOC | UC Berkeley CS294-196 Fall 2025 | Predictable Noise in LLM Benchmarks by Sida Wang
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Agentic AI MOOC | UC Berkeley CS294-196 Fall 2025 | Practical Lessons from Deploying...by Clay Bavor
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Knowledge Graph Integration for Explainable AI in Scientific Discovery
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The Future of AI Agents with Andrew Ng | Interrupt 26
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How (AI) Stuff Works – Understanding the key parts of AI simply and quickly
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Agentic AI MOOC | UC Berkeley CS294-196 Fall 2025 | Autonomous Agents by Peter Stone
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Agentic AI MOOC | UC Berkeley CS294-196 Fall 2025 | LLM Agents Overview by Yann Dubois
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Taylor Sparks: The LLM Revolution in Materials Science: From Data Extractionto Crystal Design
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AI’s Models of the World, and Ours | Theoretically Speaking
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Don't learn AI Agents without Learning these Fundamentals
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Agentic AI MOOC | UC Berkeley CS294-196 Fall 2025 | Agentic AI Safety & Security by Dawn Song
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Surface Data vs. Deep Data
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Practical Guidance for the Ethical Use of AI in Research
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