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3 changes: 2 additions & 1 deletion 04-prompt-engineering-fundamentals/README.md
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[![Prompt Engineering Fundamentals](./images/04-lesson-banner.png?WT.mc_id=academic-105485-koreyst)](https://aka.ms/gen-ai-lesson4-gh?WT.mc_id=academic-105485-koreyst)

## Introduction
This module covers essential concepts and techniques for creating effective prompts in generative AI models. The way your write your prompt to an LLM also matters. A carefully-crafted prompt can achieve a better quality of response. But what exactly do terms like _prompt_ and _prompt engineering_ mean? And how do I improve the prompt _input_ that I send to the LLM? These are the questions we'll try to answer with in this chapter and the next.
This module covers essential concepts and techniques for creating effective prompts in generative AI models. The way you write your prompt to an LLM also matters. A carefully-crafted prompt can achieve a better quality of response. But what exactly do terms like _prompt_ and _prompt engineering_ mean? And how do I improve the prompt _input_ that I send to the LLM? These are the questions we'll try to answer with in this chapter and the next.

_Generative AI_ is capable of creating new content (e.g., text, images, audio, code etc.) in response to user requests. It achieves this using _Large Language Models_ like OpenAI's GPT ("Generative Pre-trained Transformer") series that are trained for using natural language and code.

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Head over to Lesson 5 where we will look at [advanced prompting techniques](../05-advanced-prompts/README.md?WT.mc_id=academic-105485-koreyst)!