Choosing the right technique: Prompt engineering vs fine-tuning

AI models rely on prompt engineering and fine-tuning techniques to improve performance and generate contextually relevant results. Prompt engineering involves crafting optimal prompts to influence AI model outputs, while fine-tuning customizes pre-trained models to specific tasks. Both techniques play different roles in enhancing AI model performance.