3 posts
DPO aligns LLMs to human preferences without a separate reward model or RL. Loss intuition, beta, preference data, RLHF comparison, KVKK, and a Turkish example.
What is alignment? Alignment is the effort to make an AI system's goals, behaviors, and outputs consistent with people's true intent and values. This guide: a clear definition, why it matters, how it works (RLHF and Constitutional AI), value alignment, AI safety, reward hacking, Türkiye and enterprise examples, comparisons, and FAQs.
What is RLHF? RLHF (Reinforcement Learning from Human Feedback) is an alignment method that scores a language model's outputs by human preference and, using a reward model that learns those preferences, retrains the model. This guide: a clear definition, how RLHF works, SFT vs the reward model, a DPO comparison, real-world examples, limits, and FAQs.