🛡️HardAlignment & SafetyPREMIUM

RLHF & DPO Alignment

Master the RLHF pipeline and DPO. Understand reward modeling, PPO mechanics, and the trade-offs between iterative reinforcement learning and direct preference optimization.

What you'll master

RLHF pipeline components (SFT → RM → PPO)

Reward model training from preferences

PPO policy optimization mechanics

DPO as a simpler alternative

KL divergence constraint

Online vs Offline RLHF

Preference data quality factors

Hard35 min readIncludes code examples, architecture diagrams, and expert-level follow-up questions.

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Code examplesArchitecture diagramsModel answersScoring rubricCommon pitfallsFollow-up Q&A

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