Prompt Engineering

Prompt engineering is the craft of designing input prompts for LLMs to elicit desired outputs by framing questions and providing strategic context.

What is prompt engineering?

Prompt engineering is the craft of designing effective input text (prompts) given to large language models to elicit desired, accurate, and well-structured outputs. This skill involves understanding how to frame questions, provide context, specify formats, and guide AI systems to produce high-quality responses that meet specific goals—whether generating content, analyzing data, or solving problems.

Effective prompt engineering involves several key techniques:

• Framing questions with clarity and specificity while providing relevant context
• Specifying desired output formats and using examples to demonstrate expected responses
• Setting constraints and parameters to reduce hallucinations and achieve consistent results
• Strategically guiding AI systems to maximize effectiveness and reliability

As LLMs power increasingly sophisticated tools and search experiences, prompt engineering has become essential for maximizing AI effectiveness and achieving high-quality, reliable results from generative AI systems.

Learn more: Master the techniques of effective prompting in our Prompt Engineering guide.