A prompt is the content you enter into a generative AI tool in order to receive your desired output. It may not immediately create the content you envisioned, and you may need to refine your prompt to generate an output that closer aligns to what you want. Generated output can change based on the quality of the prompt and implementing prompt engineering can refine your content to more efficiently use a language learning model.
Prompt engineering is the process of structuring text using tactics to get better results. Knowing the capabilities and limitations of a tool can help you receive more accurate and relevant responses.
Adding details and providing contextual information to your prompt will generate more relevant responses. Include outcome, length, format, style, etc.
Below is an example prompt:
Phrase your input as a command rather than a statement or question. To create a command, place an action verb at the front of a sentence. Generative AI tools can more effectively design responses that are clear and direct, so make sure to avoid ambiguous language.
Below is an example prompt:
Avoid using language asking the generator not to do an output. Instead, find a way to rephrase your command that specifies exactly what you want it to generate. Using positive instructions will be more effective than negative instructions.
Below is an example prompt:
Giving the tool one step of a prompt at a time will allow you to validate the output before inputting another instruction. Breaking down the prompt prevents missed instructions and miscommunication between you and the tool.
Below is an example prompt:
Prompt the generative AI tool to take on a role or provide an example for the generator to mimic. This will allow the tool more direction and generate more specific responses.
Below is an example prompt: