Summary
In this module, you learned about prompt engineering and how it can be used to optimize the performance of Azure OpenAI models. Prompt engineering involves designing and optimizing prompts to better utilize AI models. By providing relevant, specific, unambiguous, and well-structured prompts, the model can better understand the context and generate more accurate responses.
The main takeaways from this module are that prompt engineering is a critical process for optimizing the performance of Azure OpenAI models. Providing clear instructions, requesting output composition, adjusting model parameters, and using contextual content can all help improve the accuracy and relevance of the model's responses. It's important to use AI responsibly and to always keep in mind that responses from AI models should never be taken as fact or free from bias.
Additional Reading:
- Microsoft's AI principles
- Transparency note on Azure OpenAI
- Azure OpenAI documentation on prompt engineering
- Azure AI Studio