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Artificial Intelligence

Prompt Engineering

Plain English

Writing better instructions for AI.

Definition

is the practice of designing and refining to produce better, more reliable outputs from AI .

In practice

Used to structure inputs with , rules, examples, and to improve and performance.

In context

It stops being a trick and becomes engineering at the point where are versioned, tested against examples, and changed with the same care as code.

The reality

It often involves trial and error, and results can vary depending on the and .

Compared with

Prompt Engineering vs Fine-tuning

Prompting shapes at time and is cheap to change. changes the model itself, costs more, and needs data. Reach for prompting first; fine-tune when the behaviour must be consistent at scale.

FAQ

Common questions

A few practical answers to the questions that usually come up around this term.

What is prompt engineering?

It is the of designing to improve .

Why is prompt engineering important?

It helps produce more accurate and consistent results.

What techniques are used in prompt engineering?

Providing examples, , and structured instructions.

Is prompt engineering difficult?

It can be, as small changes can significantly affect results.

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