Responsible AI - Metaprompt engineering

Metaprompt design is crucial for generative AI applications. 

The process of grounding or retrieval augmented generation (RAG) is the process of grounding your model on relevant context. This grounding can significantly improve the overall accuracy and relevance of the model outputs. 

Azure AI Studio can help you quickly and securely ground models on structured, unstructured, and real-time data, including data within Microsoft Fabric.

'A metaprompt, or system message, is a set of natural language instructions used to guide an AI system’s behavior (do this, not that)'. (see below)

The grounding data should be used by the metaprompt and enforce rules that help stop harmful content generation or user manipulations like jailbreaks or prompt injections.

Summary of responsible AI best practices for a metaprompt

ProMetaprompt engineering techniques

Infuse responsible AI tools and practices in your LLMOps

Watch the 45-minute Introduction to Azure AI Studio course on Microsoft Learn.