This repository provides code samples and resources for leveraging Azure OpenAI's GPT models to build AI solutions. It targets developers and researchers looking to understand GPT fundamentals, explore practical use cases, and implement end-to-end AI applications across various industries. The samples demonstrate integration with popular frameworks like Langchain and Semantic Kernel, offering accelerated development for common business needs.

How It Works

The project utilizes Azure OpenAI's GPT models, primarily GPT-3.5, to power a range of AI applications. It offers a structured approach through categorized notebooks for quick starts, diverse use cases (chatbots, content generation), and specific integrations like Azure Synapse Analytics for NLP. The samples are designed to be practical, enabling users to quickly adapt and deploy solutions for real-world scenarios.

Quick Start & Requirements

• Install dependencies via pip (specific commands not detailed, but .env file setup is recommended).
• Requires Azure OpenAI service access and API keys.
• Links to Quick Start notebooks and Use Cases are provided within the repository.

Highlighted Details

• Demonstrates integration with Langchain, Semantic Kernel, and Prompt Flow.
• Includes samples for Serverless SQL GPT in Azure Synapse Analytics.
• Showcases end-to-end solutions for Business Process Automation, Azure Cognitive Search, PowerApps, and Azure SQL Database integration.
• Provides examples for Semantic Search and Redis integration.

Maintenance & Community

• Maintained by a community of volunteers.
• Contributions are welcomed via issues and pull requests.
• Efforts are made to keep the repository updated with fast-changing technologies.

Licensing & Compatibility

• License type is not explicitly stated in the README.
• Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

The samples are currently based on GPT-3.5, with plans to update for GPT-4 accessibility. The repository's up-to-date status relies heavily on community contributions, which may introduce variability in maintenance speed. Specific licensing terms for commercial use are not detailed.