GenAI Application Development
summary
Azure describes building generative AI apps on Azure Machine Learning using Azure Prompt Flow for prompt authoring, evaluation and CI/CD deployment, with one‑click to a scalable managed infra that autos-scales to billions of requests per day. Claims include hosting trillion‑parameter models (roughly 500 GB model on disk) trained on thousands of GPUs, optimizing inference via KV cache and ONNX, routing/batching to maximize GPU utilization, and protecting endpoints with Azure content safety plus production metrics like relevance, coherence and F1.
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chapters (11)
- 0:00Introduction
- 0:37Scale Along 4 Dimensions
- 3:16Practical Use Cases
- 7:15Key Challenge
- 11:45Endpoint Security
- 13:21Monitoring
- 14:39Customer Reach
- 15:38Different Experiences
- 18:21Routing Policy
- 19:01CICD Process
- 19:55Outro
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