preference optimization

preference optimization shows up constantly when teams ship LLM features. Practically, it influences how you design prompts, evaluate quality, and reason about failure modes. Teams should document how preference optimization manifests in their stack—data handling, evaluation, and runtime guardrails—and revisit assumptions as models update.