Learn how to create better prompts to get the best out of AI search tools.
How to perfect your prompt writing for ChatGPT, Midjourney and other AI generators
A Conversation article, briefly describing ways to assist you with prompting on AI generators.
A beginner friendly guide on prompt engineering.
The Prompt Engineering Guide is a project by DAIR.AI. It aims to educate researchers and practitioners about prompt engineering
Sydney Uni Blog Post: Prompt engineering for educators – making generative AI work for you
Try using the CLEAR framework
1. Concise: brevity and clarity in prompts
Use a more concise and explicit prompt such as “Explain the process
of photosynthesis and its significance” instead of “Can you provide me with a detailed explanation of the process of photosynthesis and
its significance?”
2. Logical: structure and coherent prompts
A logically structured prompt could be, “Describe the steps in the
scientific method, starting with forming a hypothesis and ending with drawing conclusions.”
3. Explicit: clear output specifications
Rather than prompting, “What are some renewable energy sources?”, opt for a more explicit version like, “Identify five renewable energy
sources and explain how each works.”
4. Adaptive: flexibility and customisation in prompts
If an initial prompt such as “Discuss the impact of social media on mental health” elicits responses that are too general, consider a more
focused and adaptable prompt such as “Examine the relationship between social media usage and anxiety in adolescents.”
5. Reflective: continuous evaluation and improvement of prompts
After receiving AI-generated content on the benefits of a plant-based diet, evaluate the response’s accuracy, relevance, and completeness.
Use insights from the evaluation to refine future prompts, such as asking for more specific benefits or focusing on certain aspects of a
plant-based diet.
The CLEAR framework and examples are taken from Lo, L. S. (2023). The CLEAR path: A framework for enhancing information literacy through prompt engineering. The Journal of Academic Librarianship, 49(4), 102720. For further examples and more in depth analysis request the full text from your library.