<ul data-eligibleForWebStory="true">Prompt engineering guides a model's output by adjusting inputs, enhancing performance.For common topics and widespread knowledge, such as from large training datasets, promptengineering may suffice. For specialized domains, recent data, or proprietary info, consider fine-tuning.Fine-tuning alters a model's internal weights for specific language patterns, yielding accuracy.Fine-tuning, though resource-intensive, can be more efficient for domain-specific applications at scale.