Prompt Engineering

Prompt Engineering improves results by refining wording, structure and examples without retraining the model. Common techniques include assigning a role or persona, specifying an output format, providing a few examples through few-shot prompting and encouraging stepwise reasoning with Chain of Thought. Better instructions can substantially improve task performance without additional training costs. This makes prompt engineering a foundational skill for organizations adopting AI tools in daily work.

Business applications and impact#

Can improve model performance and accuracy through instruction design without retraining costs.

Implementation guidance and considerations#

Apply clear roles, output templates, illustrative examples and appropriate stepwise reasoning instructions.