Here are key tips from the DeepLearning.AI prompt engineering course for extracting accurate results from Gen AI models:

?? Clear Prompts: Provide specific and detailed instructions. Use delimiters to separate your data and instructions. The more context and clarity you give, the better the output.

?? Iterative Refinement: Start with a general query, then refine based on the results. Adjusting your prompts can help fine-tune the outputs.

?? Use Constraints: Set boundaries or constraints to guide the model towards producing more relevant responses. For example, specify a format or limit the length of the output.

?? Leverage Examples: Provide examples of the desired output. This helps the model understand your expectations better.

?? Model Updates: Use the latest versions of models if possible, as they come with improved performance and capabilities.

?? Review and Edit: Always review and, if necessary, edit the generated results. AI outputs may require human oversight to ensure accuracy and relevance.

I hope this information helps you ??