The 1992 Math Behind Modern LLM Alignment: REINFORCE in JAX [Road to Reasoning #1]
View the code and the papers: GitHub: https://github.com/thealepo/llm-reaso... Research Paper: https://link.springer.com/article/10.... LLM REASONING & RL FROM SCRATCH: COMPLETE ROADMAP This video is part of an ongoing, first-principles curriculum tracking the progression of reinforcement learning and alignment for modern reasoning models. Bookmark the playlist to follow the journey from zero to hero! Full Playlist:

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RL for Agents Workshop - Deep Dive on Training Agents with RL and Open Source

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Transformers, the tech behind LLMs | Deep Learning Chapter 5

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Yann LeCun: World Models: Enabling the next AI revolution

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The Scariest Chart In Electrical Engineering
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Yann LeCun's $1B Bet Against LLMs [Part 1]

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

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Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker

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Jfrog | Jfrog Artifactory | Jfrog Artifactory Tutorial | Artifactory Tutorial | Intellipaat

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China Is About To Pop The AI Bubble

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The AI Skills Nobody is Teaching (And Everyone Needs) | AI Expert Ethan Mollick

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The Strange Math That Predicts (Almost) Anything

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Visualizing transformers and attention | Talk for TNG Big Tech Day '24

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Zig 2026: No-AI Policy, $670K Foundation, Left GitHub & Why Zig Isn’t 1.0 - Andrew Kelley Explains

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Why AI Can Never Escape Turing's 1936 Proof

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OWASP's Top 10 Ways to Attack LLMs: AI Vulnerabilities Exposed

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