Context matters: When designing prompts, it’s important to consider the specific context in which the prompt will be used, including the task, domain, audience, and platform or tool being used. A prompt that works well in one context may not be effective in another, so it’s important to adapt the prompt to the specific needs and constraints of the task.
Feedback is critical: Prompt engineering is an iterative process, and feedback is critical for improving the quality and effectiveness of prompts. It’s important to test and evaluate prompts in real-world settings and in an organizational context to gather feedback from users and stakeholders to identify areas for improvement.
Domain expertise is important: While many prompt engineering tools and platforms are available, having domain expertise is important for creating high-quality prompts that are tailored to the specific task and domain. Domain experts can help identify key concepts, terminology, and relationships that should be included in the prompt, and can provide valuable feedback on the relevance and accuracy of the prompt.
Additionally, domain expertise will aid in identifying AI Hallucination.