This repository provides a comprehensive collection of demos, documentation, and accelerators for Azure OpenAI services. It targets developers and researchers looking to leverage advanced AI capabilities like multimodal models, agent services, and fine-tuning for various applications, offering practical examples and best practices.

How It Works

The project showcases Azure OpenAI's capabilities through a wide array of Jupyter notebooks and code examples. It demonstrates integration with other Azure services such as Document Intelligence, AI Speech, and Cognitive Search, enabling complex workflows like RAG, image analysis, and audio processing. The demos highlight specific model features and use cases, providing hands-on experience with Azure's generative AI offerings.

Quick Start & Requirements

• Installation: Primarily involves cloning the repository and running Jupyter notebooks. Specific Azure service setup (e.g., Azure OpenAI resource, API keys) is required.
• Prerequisites: Azure subscription, Azure OpenAI service deployment, Python environment, and relevant Azure SDKs.
• Resources: Requires an Azure account and potentially significant compute for running advanced models or large datasets.
• Links:
  • Azure OpenAI: https://azure.microsoft.com/en-us/products/ai-services/openai-service-b
  • Documentation: https://learn.microsoft.com/en-us/azure/ai-services/openai/
  • Azure OpenAI Studio: https://oai.azure.com/portal

Highlighted Details

• Extensive coverage of the latest models including GPT-4o, GPT-4 Turbo with Vision, and Mistral.
• Demos for agent services, multimodal capabilities (image generation, editing, OCR), and fine-tuning.
• Examples for RAG, semantic chunking, batch processing, and structured outputs.
• Integration patterns with Azure Document Intelligence, Cognitive Search, and AI Speech.

Maintenance & Community

• Actively updated with new Azure OpenAI features and models.
• Maintained by Serge Retkowsky (Microsoft).
• Links to related workshops and accelerators are provided.

Licensing & Compatibility

• The repository itself is likely under a permissive license (e.g., MIT, Apache 2.0) given its nature as a collection of examples.
• Usage of Azure OpenAI services is governed by Microsoft Azure's terms of service and pricing.

Limitations & Caveats

• Requires an Azure subscription and deployment of Azure OpenAI resources, which may incur costs.
• Demos are illustrative and may require adaptation for production environments.
• Some advanced features might depend on specific Azure service tiers or regional availability.