What is Prompt Engineering?
Prompt Engineering — The practice of designing and refining input queries to elicit optimal and accurate responses from AI models.
Effective prompts include clear instructions, examples of desired output, and explicit constraints. Techniques like chain-of-thought prompting, few-shot examples, and system prompts can dramatically improve output quality without any model changes.
Frequently Asked Questions
Is prompt engineering a real skill?
Yes. Well-crafted prompts can improve model accuracy by 20-40%. It is often the fastest and cheapest way to improve AI output before considering fine-tuning.
What is chain-of-thought prompting?
A technique where you instruct the model to reason step-by-step before answering. This significantly improves accuracy on complex reasoning and math tasks.
How long should prompts be?
As concise as possible while being specific. Include only the context the model needs. Overly long prompts waste tokens and can actually reduce output quality.