Azure OpenAI Using C#: Exploring Microsoft Azure OpenAI and embeddings and vectors to implement Artificial Intelligence applications using C#
Azure OpenAI Using C#
Exploring Microsoft Azure OpenAI and embeddings and vectors to implement Artificial Intelligence applications using C#
Discover the power and potential of Azure OpenAI, and harness it seamlessly with C#.
Dive into the vast world of Azure OpenAI with this comprehensive guide tailored for C# developers. "Azure OpenAI in C#" bridges the gap between cutting-edge AI services on Azure and the ever-evolving world of C# programming. Whether you're a seasoned developer or just starting out in the field of AI, this book provides insights, hands-on examples, and the knowledge required to integrate Azure OpenAI into your applications effectively.
- Chapter 1: What Is Azure OpenAI and Why Would You Want to Use It?
- Begin your journey by understanding the fundamentals of Azure OpenAI. Discover its capabilities, benefits, and the compelling reasons to integrate it into your software projects.
- Chapter 2: Creating a Blazor Chat Application with Azure OpenAI
- Dive into a practical application by developing a Blazor-based chat application. Enhance user interactions by leveraging the power of Azure OpenAI.
- Chapter 3: Recursive Azure OpenAI Function Calling
- Delve deeper into the functionalities of Azure OpenAI with recursive function calling. Understand the intricacies and potential applications of this powerful feature.
- Chapter 4: What Are Embeddings and Vectors (And Why Should I Care?)
- Step back and get a foundational understanding of the concepts of embeddings and vectors. Learn their significance in the world of AI and how they can be used in conjunction with Azure OpenAI.
- Chapter 5: Bring Your Own Data to Azure OpenAI
- Customize your AI applications by introducing your datasets. Learn the best practices, and strategies to effectively integrate your data with Azure OpenAI.
- Chapter 6: Azure OpenAI RAG Pattern using an SQL Vector Database
- Explore the Retrieval Augmented Generation (RAG) pattern using a SQL Vector Database. Enhance the depth and breadth of your AI solutions by tapping into database-driven vector storage.
Whether you're looking to upgrade your existing applications or are on the verge of creating a new AI-driven solution, "Azure OpenAI in C#" offers a thorough understanding of the capabilities and integrations possible with Microsoft's Azure OpenAI.