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Responsible AI Developer Hub
source link: https://azure.github.io/responsible-ai-hub/
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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 OpenAI
This is a hands-on lesson on prompt engineering, detecting jailbreaks, offensive or inappropriate content in text and images quickly and efficiently. Includes identifying sexual, violent, hate, and self-harm content.
Azure ML 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.
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