Summary
A prompt is a text-based input that tells a generative AI model what to do and how to do it. A prompt has two main components: instruction and context. The instruction states the task and the objective for the model, while the context provides information for the model's output.
Prompt engineering is the skill of crafting prompts that produce the desired output from the model. The prompt's quality and effectiveness affects the quality and effectiveness of the model's output. To create good prompts, the user needs to utilize their critical-thinking skills to write descriptive language to define the desired output and communicate it clearly and specifically to the model. With the skill of prompt engineering, you're now ready to create, produce, and design with generative AI.
Other resources
To continue your learning journey, go to:
- Prompt engineering overview | Microsoft Learn
- Improve generative AI responses with prompt engineering - Training | Microsoft Learn
- Write more effective prompts - Training | Microsoft Learn
- Prompt Engineering: How to Talk to the AIs (linkedin.com)
- GitHub Prompts for Education
Bibliography
- Stratton, J. - Disclose when you're using generative AI. in: Streamlining Your Work with Microsoft Copilot. LinkedIn Learning. Published June 22, 2023.
- Introduction to prompt engineering. Microsoft. Published July 17, 2023.
- How text generation works. Microsoft. Published July 14, 2023.
- Prompt Engineering Techniques | Learn How to Interact with OpenAI Models Microsoft.github.io.
- Prompt Engineering: Improving Our Ability to Communicate with a Large Language Model (LLM). Published May 30, 2023.