Completed
1:21:35 - Hubs and projects
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Classroom Contents
Azure AI Foundry Overview: Pro-Code Azure AI Tooling
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- 1 00:00 - Introduction
- 2 00:39 - Copilots
- 3 01:05 - Capital C Copilots
- 4 03:02 - Little c copilots
- 5 04:25 - Copilot Studio
- 6 09:39 - How to pick
- 7 10:43 - Azure AI Foundry core capabilities
- 8 13:20 - Types of model
- 9 15:24 - Trends in AI
- 10 18:10 - Traditional AI services and generative
- 11 22:39 - Portal and SDK
- 12 23:39 - Model collection
- 13 29:19 - Model lack of memory
- 14 30:25 - Where the model is running
- 15 32:06 - Benchmarks
- 16 37:57 - GitHub Marketplace
- 17 43:46 - Deployment options
- 18 44:13 - Serverless endpoint
- 19 48:16 - Managed compute
- 20 49:40 - Interacting with generative AI
- 21 52:51 - Retirements
- 22 54:58 - Evaluations
- 23 57:25 - Tracing
- 24 58:33 - Fine tuning
- 25 1:03:23 - Distillation
- 26 1:05:25 - Inferencing API
- 27 1:08:06 - Safety
- 28 1:14:35 - Agents
- 29 1:17:59 - Orchestrators
- 30 1:20:23 - Azure AI Search
- 31 1:21:35 - Hubs and projects
- 32 1:24:22 - Integration
- 33 1:26:47 - Close
