What is Prompt Engineering?
The practice of crafting effective instructions for AI models to get the best possible responses.
Why It Matters
Well-designed prompts can dramatically improve AI output quality, saving time and producing better results.
Real-World Example
Instead of asking 'Write about dogs', a better prompt might be 'Write a 200-word guide on choosing a family-friendly dog breed'.
“Understanding terms like Prompt Engineering matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
Related Terms
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Chain of Thought
A prompting technique that asks AI to show its reasoning step by step before giving a final answer.
Few-shot Learning
Teaching an AI model to perform a task by showing it just a few examples in the prompt.
Zero-shot Learning
An AI model performing a task it was not specifically trained on, without any examples.
Learn More at buildDay Melbourne
Want to understand these concepts hands-on? Join our one-day workshop and build a real web application from scratch.
Related Terms
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Few-shot Learning
Teaching an AI model to perform a task by showing it just a few examples in the prompt.
Zero-shot Learning
An AI model performing a task it was not specifically trained on, without any examples.
Chain of Thought
A prompting technique that asks AI to show its reasoning step by step before giving a final answer.
Transformer
A type of AI architecture that processes text by paying attention to relationships between all words at once, rather...
Attention Mechanism
A technique that lets AI models focus on the most relevant parts of the input when generating output.