Title: Refining Prompts
Course: LLM_Prompt_Engineering_For_Developers > Section: Module 122: Refining Prompts

Refining Prompts

Refining prompts essentially means adjusting the wording, structure, or context of the prompt to improve the results. Here are some strategies to consider:

- Be Specific: The more details you provide in your prompt, the more focused the output can be. For instance, instead of asking:

"Tell me about weather."


A more specific prompt would be:

"What is the weather forecast for New York City for the next week?"


- Provide Context: Including contextual information helps narrow down the output. For example:

"Generate a summary of the major themes in Shakespeare's 'Hamlet'."


Instead of simply asking for a summary, this context helps guide the LLM to focus on themes rather than a general overview.
- Feedback Loop: Use the outputs generated from initial prompts to inform further refinements. For example, if an initial response is too vague, iterate by adding additional constraints based on what was missing.

Example: Testing and Refining