Responsible AI Developer Hub
UPDATE: This repository is archived effective July 1, 2024. For Responsible AI resources, visit aka.ms/rai-collection.
Building AI Solutions? Let's Build Responsibly!
Self-Guided Workshops
Responsible AI Dashboard
This hands-on lesson teaches how to debug and mitigate a ML model issues using error analysis, data analysis, model explainability, model performance and fairness assessment.
Azure Content Safety for Azure OpenAI
This is a hands-on lesson on prompt engineering, detecting jailbreaks, offensive or inappropriate content in text and images quickly and efficiently. Includes mitigating content harm such as sexual, violent, hate, and self-harm content.
Azure Machine Learning Prompt Flow
This is a hands-on lesson on creating executable flows that link LLMs, vector embeddings, prompts, and Python tools through a visualized graph. As well as, evaluating performance through large-scale testing.