Prompt Engineering
The practice of designing, refining and optimising input prompts and instructions to effectively communicate objectives to large language models and elicit desired, high-quality outputs.
In plain language
The craft of writing good instructions for an AI to get better results. Changing a few words in how you ask a question can dramatically change the quality and style of the AI's response.
Why this matters
As organisations deploy large language models for customer-facing and operational tasks, prompt quality directly impacts output quality and safety. Governance frameworks should include prompt management and validation practices to ensure consistency and reduce risks of misuse or drift in model behaviour.
Relevance
ImplementationA practical control that directly affects output quality and consistency, requiring validation and governance to ensure reliable and safe model behaviour.
Related terms
Putting prompt engineering into practice in your organisation?
Ready to transform your AI strategy?
Partner with Australia's AI strategy and governance specialists. From adoption roadmaps to ISO 42001 audit readiness.