Fine-tuning updates all model weights while prompt tuning modifies only a small set of parameters. OpenAI and Azure AI offer both paths to improve LLM accuracy. Fine-tuning demands more compute and data. Prompt tuning provides a faster, lightweight alternative for specific tasks. Practitioners must balance resource costs against the required precision for their application.