The Prompt Engineering section provides a structured approach to designing, executing, and optimizing prompts for LLM-based applications. Crafting an effective prompt is essential for achieving high-quality, reliable, and contextually appropriate AI responses. This section focuses on how to create, evaluate, refine, and optimize prompts to ensure optimal performance.

This section covers:

  • What prompt engineering is and why it matters.
  • How to create and manage prompts effectively.
  • How to evaluate and compare different prompts.
  • Optimization techniques to iteratively improve prompt performance.

By mastering prompt engineering, you can fine-tune AI behaviour, reduce hallucinations, improve response accuracy, and create structured, reusable prompts for production applications.

Concept

Learn about prompt engineering fundamentals and best practices

How To

Step-by-step guides for creating and optimizing prompts

Using Python SDKConcept