From the course: Build with AI: Building a Copilot with Azure AI Foundry
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Azure AI Foundry models
From the course: Build with AI: Building a Copilot with Azure AI Foundry
Azure AI Foundry models
- [Instructor] One of the things needed for creating Copilot is a large language model. As of the time of this recording, Azure AI Studio provides access to over 1,700 different models. These models are comprised from 14 different collections. A collection is essentially a collection of models provided by a single publisher. Within Azure AI studio, there are 14 different collections from publishers such as Azure OpenAI, Microsoft, Meta, and a variety of others. These models can generate a variety of different tasks, such as text generation, fill mask, text classification, and so forth, up to 28 different inference tasks. Of these 28 different inference tasks, 11 of them can be utilized with fine tuning. Essentially with fine tuning, it is the process of retraining a pre-trained model on a specific dataset. This is to improve model performance on specific data or tasks. In addition, each model comes with its own…
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