YouTube Video
https://aka.ms/foundry-portal
https://aka.ms/InsideMicrosoftFoundryPlaylist
What if the biggest model is quietly the wrong one? Using the Microsoft Foundry model catalog, we understand the best model for our use case. We swap only the model deployment. We run the same evaluation over both. We also capture cost and latency from real runs. That turns “pick a model by vibes” into a measured decision. By the end, you’ll see when a smaller model can be the production choice. You’ll also see when it isn’t.
0:00 - Intro
0:32 - Choose the Right AI Model
1:10 - Filter Models by Capabilities
2:15 - Compare Deployment Options
3:20 - Fine-Tuning and Model Availability
4:30 - Understand Model Benchmarks
5:37 - Configure Model Deployment
6:41 - Evaluate Latency, Tokens, and Quality
7:47 - Compare Model Costs
8:54 - Manage Quotas and Optimize Models
https://aka.ms/InsideMicrosoftFoundryPlaylist
What if the biggest model is quietly the wrong one? Using the Microsoft Foundry model catalog, we understand the best model for our use case. We swap only the model deployment. We run the same evaluation over both. We also capture cost and latency from real runs. That turns “pick a model by vibes” into a measured decision. By the end, you’ll see when a smaller model can be the production choice. You’ll also see when it isn’t.
0:00 - Intro
0:32 - Choose the Right AI Model
1:10 - Filter Models by Capabilities
2:15 - Compare Deployment Options
3:20 - Fine-Tuning and Model Availability
4:30 - Understand Model Benchmarks
5:37 - Configure Model Deployment
6:41 - Evaluate Latency, Tokens, and Quality
7:47 - Compare Model Costs
8:54 - Manage Quotas and Optimize Models
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