What is Prompt Engineering?
Prompt engineering is the process of designing and refining prompts to elicit desired responses from large language models (LLMs) like those offered through Azure OpenAI Service. It's about understanding how LLMs interpret language and strategically structuring prompts to achieve specific goals, whether it's generating creative content, answering questions accurately, or translating languages effectively.
Think of it like giving instructions to a very intelligent, but sometimes easily confused, assistant. The clearer and more precise your instructions are, the better the results you'll get.
Key Techniques
Here are some techniques that are important to use when prompt engineering:
- Clear Instructions: Be explicit about what you want the model to do.
- Contextual Information: Provide relevant background information to help the model understand the task.
- Role Play: Instruct the model to adopt a specific persona or role.
- Few-Shot Learning: Provide a few examples of the desired output.
- Constraints: Define limitations or boundaries for the model's response.
Resources
Learn more about prompt engineering with these resources: