Merge pull request #434 from Ishan-Kumar2/main

minor typo fix

04-prompt-engineering-fundamentals/README.md

@@ -2,7 +2,7 @@
 
 [![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)
 
-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.
+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.