~/azure-ai-300 · Implement generative AI quality assurance and observability ▊
← Microsoft Certified: Machine Learning Operations Engineer Associate
AZURE · objective · 14% of the exam
Implement generative AI quality assurance and observability — Microsoft Certified: Machine Learning Operations Engineer Associate
The official AZURE documentation our Implement generative AI quality assurance and observability practice questions are cited to. Review the primary sources, then practise.
Official references for this objective
-
Microsoft — Monitoring Generative AI applications | Microsoft Learn
A collection of spans forms a trace that represents the complete path and lifecycle of a request.
-
Microsoft — Evaluation metrics | Microsoft Learn
Reference-based metrics are used to compare generated text to a reference, the human annotated ground truth text.
-
Microsoft — Evaluating the performance of LLM summarization prompts with G-Eval | Microsoft Learn
A technique known as G-Eval has been developed, which uses GPT-4 to evaluate the quality of summaries without a ground truth.