Learn Live: Introduction to Azure OpenAI Service
summary
Overview of how Azure exposes OpenAI models as a managed service: Azure OpenAI Studio issues an endpoint and API keys after a gated request (access often takes weeks), deploys models across regions, and supports GPT-3.5/GPT-4, Codex and DALL·E2. Live demos show text generation (tagline), SQL/KQL generation, a web chat bot trained from uploaded docs, GitHub Copilot inspecting and fixing Python/Flask, and image generation (astronaut, Darth Vader eating ice cream); integrations work and Azure adds monitoring, private networking and compliance for responsible AI.
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chapters (19)
- 0:00Start
- 5:45Introduction to Al
- 7:24Capabilities of OpenAl Al models
- 9:49Definition
- 12:21What is generative Al?
- 13:09What is Azure OpenAl?
- 14:46Introduction to Azure OpenAl Service
- 15:56Azure OpenAl Benefits
- 22:43Azure OpenAl's relationship to Azure Al services
- 24:33Access to Azure OpenAl
- 26:01Azure OpenAl Studio
- 33:50Understanding GPT models for natural language generation
- 36:38How models are applied to new use cases
- 42:18Examples of code generation
- 42:37GitHub Copilot
- 47:05Editing an image
- 47:22Image variations
- 53:54Azure OpenAl's access and responsible Al policies
- 57:55Microsoft Learn. Spark possibility.
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