Expert attention map

The Who's Who of AI

What credible people across AI noticed, why it matters, and where the field is converging or disagreeing.

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New Agents & robotics Signal 15h ago
⚡ 8 h early

Regularization in RL, Why RL Generalizes, and Why SFT Forgets | RLHF & Post-training Book Lecture 10

1 directory member surfaced this signal.

Why this matches Questions & unknowns reaction 1 attributable expert contribution · Nathan Lambert
“00:00 Intro & the role of regularization 02:50 The KL penalty in RL 10:53 RL as a reverse KL loss 21:09 Why RL generalizes better than SFT 25:15 Other regularization tools www.youtube.com/watch?v=IwpY...” evidence ↗
1 expert 1 community 1 sources clustered
Nathan Lambert

“00:00 Intro & the role of regularization 02:50 The KL penalty in RL 10:53 RL as a reverse KL loss 21:09 Why RL generalizes better than SFT 25:15 Other regularization tools www.youtube.com/watch?v=IwpY...”

Primary source youtube.com ↗