Prompt engineering in the art of asking exactly the right question to guide the AI to generate your desired response. It focuses on structuring queries clearly, providing context, and testing different approaches to achieve accuracy, relevance, and consistency in the AI's output.
As AIs become more and more powerful, our skills to use them becomes more and more important. AI-literate candidates has been shown to outperform non-literates by a fourfold. Four times as productive! That's just insane.
The performance gap between graduates is increasingly defined by their ability to treat AI as a collaborator rather than just a basic tool, as AI literacy fosters innovative behavior. AI-literate students achieve massive efficiency gains on routine tasks—freeing them to perform higher-level critical thinking—success is driven less by technical knowledge and more by the practical application and critical appraisal of AI outputs.
Based on my experience, this prompt has been found to work well for diverse problems. Modify it accordingly for your task.
I am writing a research paper on vehicle classification on roads using fusion of spectrogram and scalogram features. Act as an experienced research professor with many years of experience in writing academic papers. Write an overview (introduction) on vehicle classification on roads and its importance. Use formal and professional tone suitable for postgraduate academic research. Write in 500 words (three paragraphs). I want the output to be in paragraph/table/point form. Here is an sample of what I want you to do. Before we begin, ask clarifying questions for you to perform your task better.
Context / Intent: What do you want to achieve for this task.
Role-playing: AI does its job better when it is given a role like this.
Task: This is the task you want it to perform. Be precise, detailed and direct. Longer is better.
Parameters & Expected Output: Specifications and refinements to the work you want done.
Example: Giving an example (sample) of the expected output is much easier than describing it to the AI.
Questions: Lets the AI ask instead of making assumptions.
If you want it to fix something, add this:
I am writing a research paper on vehicle classification on roads using fusion of spectrogram and scalogram features. Act as an experienced research professor with many years of experience in writing academic papers. Write an overview (introduction) on vehicle classification on roads and its importance. I currently have this version (upload), it is a bit too wordy. Make it less wordy, more precise and concise. Use formal and professional tone suitable for postgraduate academic research. Write in 500 words (three paragraphs). I want the output to be in paragraph/table/point form. Here is an sample of what I want you to do. Before we begin, ask clarifying questions for you to perform your task better.
Current state
What is wrong?
How should it be fixed?
Indicators guide the AI to the direction you want it to go. It helps immensely when you need to solve complex multi-step problems.
If it is doing a good job and you want to continue down that solution path. "Great job! Now lets ..."
If it is not doing a good job and you want to change approach. "I don't like this. These are the things I don't like (list down). Revise your writing ..."