Prompts are the instructions users give generative AI (GenAI) in order to guide GenAI's response, which could take the form of text, images, music, code etc.
Prompts define the task for the GenAI and influence the outputs in terms of style, content, and detail. The more specific the instructions given to the tool, the better the outcome. Prompting GenAI at each step keeps the AI tool on topic and more likely to provide the most helpful output.
Prompt engineering is the intentional process of designing clear and actionable prompts or instructions for GenAI models, which guide and influence GenAI's responses. Formulating clear and effective prompts is crucial to obtaining the best possible output.
** Information adapted from University of Saskatchewan's Generative Artificial Intelligence guide and used with permission.**
Context: Provide background information to set the stage. Action: Designate a specific task. Result: Provide clear directions to specify the desired outcome. Example: Share an example that can serve as a model for the desired response.
Concise: Use clear, simple, and succinct language. Logical: Establish context by providing a logical structure of information within your prompt. Explicit: Specify the format, length, sources, tone, audience etc. Adaptive: Iterate and ask follow-up questions. Reflective: Evaluate the response(s) and contemplate how to refine the prompt to receive an improved output.
Character: Share the role you would like AI to play. e.g. undergraduate student. Request: Clearly explain the task you would like performed. Examples: Share examples that can serve as models for the desired response. Additions: Provide some additional information to adjust the output. Type of Output: Provide clear directions to specify the desired outcome. Extras: Share additional information to enhance your prompt, and as a result, the output content.
Many of the tools linked below offer free versions, though accounts are often required.