3 posts
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.
A comprehensive Turkish guide spanning the philosophical foundations of AI ethics and safety to production controls. Covers responsible AI principles (FAT — Fairness, Accountability, Transparency, Privacy, Safety), bias sources and mitigation, hallucination control, alignment techniques (Constitutional AI, RLHF, RLAIF), prompt injection and jailbreak defenses, deepfake detection, red teaming, EU AI Act + ISO 42001 integration, a responsible-AI maturity model, and 3 anonymized Turkish enterprise case studies.