From the course: Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure
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Azure AI Foundry demo
From the course: Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure
Azure AI Foundry demo
- [Instructor] Welcome to Azure AI Foundry. Let's get started by searching for Azure AI Foundry on Microsoft Bing. Once you've found the site, you should log in with your Azure credentials. We've already set up a project for this demo, but if you're starting fresh, you'll need to create a new one. In the model catalog, you can browse all available models. Let's pick the Phi-3 Medium model from Microsoft, which is a small language model. You can immediately try it out or deploy it based on your selection. After deployment, you'll find your deployed model s listed under the deployments tab. For example, I previously deployed a GPT-4 Omni model in an ADA embedding model. Now let's explore content filters. By default, filters are set to a medium level for categories like sexual, self-harm, harmful and violent content. I've configured stricter filters for my models in this example. I then applied these strict filters to my deployed models. With the models deployed and the filters in place,…
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Contents
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Overview of generative AI2m 40s
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Traditional model development vs. foundation models4m 16s
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Token, embeddings, transformer model3m 19s
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Using language models: LLM vs. SLM2m 30s
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Improving your prompts4m 4s
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Introduction to Microsoft Copilot3m 25s
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Customizing language models2m 51s
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Introduction to Azure AI Foundry2m 35s
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Introduction to Azure OpenAI1m 29s
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Practical application of generative AI in business3m 34s
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Azure AI Foundry demo4m 5s
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