Aug 26, 2025 · Artificial Intelligence

Mastering RLHF, DPO, and KTO: A Complete Guide to Human‑Feedback Alignment Techniques

This comprehensive guide explains the full RLHF training pipeline, the mathematical foundations of reward modeling and PPO, and introduces DPO and KTO algorithms—including their implementations, advantages, limitations, and practical tuning strategies—for building aligned large language models.

DPOHuman FeedbackKTO

0 likes · 32 min read

Mastering RLHF, DPO, and KTO: A Complete Guide to Human‑Feedback Alignment Techniques

Baobao Algorithm Notes

Nov 19, 2024 · Artificial Intelligence

Demystifying OpenRLHF Loss Functions: From GPTLM to KTO and Beyond

This article walks through the various loss functions used in OpenRLHF—including GPTLMLoss, KDLoss, DPOLoss, KTOLoss, and reward model losses—explaining their mathematical foundations, implementation details, and practical considerations for RLHF training.

DPOKTOLoss Functions

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Demystifying OpenRLHF Loss Functions: From GPTLM to KTO and Beyond