Azure AI provides access to advanced AI models from Microsoft, OpenAI, Mistral, Meta, Stability AI, Core42, Nixtla and more, all hosted in Microsoft’s Azure cloud. Developers can use Azure services to build applications that utilize these models.
Here’s what Azure AI Service offers:
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Variety of Models: It includes several powerful models like GPT-4, GPT-4o, GPT-4 Turbo with Vision, GPT-3.5 Turbo, and various embedding models. Each model has unique capabilities, from understanding and generating text to processing images and translating natural language into code.
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Customizable Tasks: The models can be adapted for specific tasks such as generating content, summarizing texts, understanding images, conducting semantic searches, and translating natural language into code. This flexibility allows you to tailor the AI to meet your specific needs.
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Model Customization: You can further customize these models using techniques like fine-tuning, where the model is adjusted to better understand your specific data, and Retrieval-Augmented Generation (RAG), which combines retrieving information and generating responses based on that information.
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Access Methods: The service can be accessed in various ways to suit different technical needs and preferences, including REST APIs (for integration into various applications), a Python SDK (for those who prefer to work in Python), and a web-based interface available in Azure AI Studio (which provides a user-friendly environment for managing and interacting with the models).
For detailed information on the available models and their capabilities, you should refer to the comprehensive documentation provided by Microsoft on Azure AI. This service is particularly useful for advanced developers who are looking to integrate sophisticated AI capabilities.