In practice, the prompt acts assist the model complete the desired task, but it's more of an art than a science, often requiring experience and intuition to craft a successful prompt In this article, i will share some tips and best practices for prompt engineering with azure open ai The goal of this article is to help get you started with this learning process.
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Due to the way openai models are trained, there are specific prompt formats that work particularly well and lead to more useful model outputs
The official prompt engineering guide by openai is usually the best place to start for prompting tips.
The foundation of effective prompt engineering rests on eight key principles demonstrated throughout the quick start notebooks Learn how to use prompt engineering to optimize your work with azure openai Prompt construction can be difficult. Prompt engineering is the process of adding additional context to the prompt to provide grounding to the ai model and make it more likely to produce the desired response and less likely to produce undesirable outputs.
In the openai dashboard, you can develop reusable prompts that you can use in api requests, rather than specifying the content of prompts in code This way, you can more easily build and evaluate your prompts, and deploy improved versions of your prompts without changing your integration code. This repository is dedicated to writing, optimizing, and engineering prompts for azure openai's latest language models
