Update README.md (Typo "Azure Open AI"→"Azure OpenAI")

https://github.com/microsoft/generative-ai-for-beginners/blob/main/02-exploring-and-comparing-different-llms/README.md
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related microsoft#368

02-exploring-and-comparing-different-llms/README.md

@@ -36,7 +36,7 @@ Depending on if you aim to use the models for text, audio, video, image generati
 
 - **Image generation**. For image generation, DALL-E and Midjourney are two very known choices. DALL-E is offered by Azure OpenAI. [Read more about DALL-E here](https://platform.openai.com/docs/models/dall-e?WT.mc_id=academic-105485-koreyst) and also in Chapter 9 of this curriculum.
 
-- **Text generation**. Most models are trained on text generation and you have a large variety of choices from GPT-3.5 to GPT-4. They come at different costs with GPT-4 being the most expensive. It's worth looking into the [Azure Open AI playground](https://oai.azure.com/portal/playground?WT.mc_id=academic-105485-koreyst) to evaluate which models best fit your needs in terms of capability and cost.
+- **Text generation**. Most models are trained on text generation and you have a large variety of choices from GPT-3.5 to GPT-4. They come at different costs with GPT-4 being the most expensive. It's worth looking into the [Azure OpenAI playground](https://oai.azure.com/portal/playground?WT.mc_id=academic-105485-koreyst) to evaluate which models best fit your needs in terms of capability and cost.
 
 Selecting a model means you get some basic capabilities, that might not be enough however. Often you have company specific data that you somehow need to tell the LLM about. There are a few different choices on how to approach that, more on that in the upcoming sections.