full fine-tune

full fine-tune 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 full fine-tune manifests in their stack—data handling, evaluation, and runtime guardrails—and revisit assumptions as models update.