Agentic AI MOOC | UC Berkeley CS294-196 Fall 2025 | Predictable Noise in LLM Benchmarks by Sida Wang

▶︎
Agentic AI MOOC | UC Berkeley CS294-196 Fall 2025 | AI Agents to Automate Science by James Zou

▶︎
Agentic AI MOOC | UC Berkeley CS294-196 Fall 2025 | Training Agentic Models by Weizhu Chen

▶︎
Linear representations of concepts in modern AI models

▶︎
Agentic AI MOOC | UC Berkeley CS294-196 F25 | Multi-Agent Systems in Era of LLMs by Oriol Vinyals

▶︎
Dawn Song: Professor at UC Berkeley: Safe & Secure Agentic AI | GTP 2026

▶︎
Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

▶︎
Questions for Theory in the New Age of Machine Learning

▶︎
Yann LeCun: World Models: Enabling the next AI revolution

▶︎
Why The Best Engineers Are Solving Code Review Bottlenecks

▶︎
Agentic AI MOOC | UC Berkeley CS294-196 Fall 2025 | LLM Agents Overview by Yann Dubois

▶︎
Mastering LLM Inference Optimization From Theory to Cost Effective Deployment: Mark Moyou

▶︎
The Future of AI Agents with Andrew Ng | Interrupt 26

▶︎
Surface Data vs. Deep Data

▶︎
Agentic AI MOOC | UC Berkeley CS294-196 Fall 2025 | Agentic AI Safety & Security by Dawn Song

▶︎
Deep Dive into LLMs like ChatGPT

▶︎
Agentic AI MOOC | UC Berkeley CS294-196 Fall 2025 | Practical Lessons from Deploying...by Clay Bavor

▶︎
Agentic AI MOOC | UC Berkeley CS294-196 Fall 2025 | Multi-Agent AI by Noam Brown

▶︎
Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

▶︎
Build a Full-Stack GenAI Project in 4 Hours (FastAPI, React, Supabase)

▶︎
