Prompt Engineering Guide for AI Enthusiasts ❤

Learn the best practices and tips for prompt engineering from experts!

What’s Prompt Engineering?

Response quality from large language models (LLMs) in Azure OpenAI depends on the quality of the prompt provided. Improving prompt quality through various techniques is called prompt engineering.

Prompt engineering is the process of designing and optimizing prompts to better utilize LLMs. Designing effective prompts is critical to the success of prompt engineering, and it can significantly improve the AI model’s performance on specific tasks. Providing relevant, specific, unambiguous, and well-structured prompts can help the model better understand the context and generate more accurate responses.

For example, if we want an OpenAI model to generate product descriptions, we can provide it with a detailed description that describes the features and benefits of the product. By providing this context, the model can generate more accurate and relevant product descriptions.

Prompt engineering can also help mitigate bias and improve fairness in AI models. By designing prompts that are diverse and inclusive, we can ensure that the model isn’t biased towards a particular group or perspective.