Chat uses AI prompting to generate outputs from your content inputs.
Prompt Engineering — An Iterative Process
| When entering a prompt, think of it like engaging in a dialogue. It's a process where you present an input, receive a corresponding output and then craft your subsequent input based on that output. Once you receive your output, you need to evaluate it against certain criteria:
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Then, based on your evaluation, you can refine your prompt to:
- Clarify or enhance the role, output or instructions.
- Alter the wording or format of the prompt.
- Add more context or detail.
- Give feedback regarding parts to maintain or remove.
Modify to resolve issues identified while evaluating the output.
Prompt Structure
A good prompt structure contains three essential elements:
- Audience role (LLM persona)
- Output
- Instructions
This example identifies each element in the prompt:
| Structure: | Prompt: |
| Audience role | Act as Training Manager. |
| Output | Write the opening paragraph of an announcement to the organization regarding a new program on prompt engineering for all employees. |
| Instructions | The announcement should be short, engaging, using professional language and be well-structured. |
This is a very basic starting guide to get you going on prompting.
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