Prompt engineering is the art and science of crafting effective instructions for AI models, particularly Large Language Models (LLMs). A well-designed prompt can significantly enhance the quality, relevance, and safety of AI-generated responses. This guide will walk you through the key concepts and best practices in prompt engineering.

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The Prompt Input Field

The prompt input field in GlowStudio:

Remember to always include the variables {kb_context} and {about_context} in your prompt. Without these, the agent won’t have access to the retrieved chunks from the RAG (Retrieval-Augmented Generation) system.

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Key Concepts

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Next Steps

Now that you’ve got an overview of prompt engineering, explore the following sections to deepen your understanding:

Formatting Your Prompts

Learn how to structure and format your prompts effectively using Markdown and XML.

Step-by-Step Prompt Guide

Follow our comprehensive guide to crafting the perfect prompt.

TechTalk Example

See a real-world example of a tech-focused prompt using Markdown.

BakeMate Example

Explore a culinary-themed prompt example using Markdown.