Anto Subash shares a tutorial on building an AI-powered .NET API with Ollama and Microsoft.Extensions.AI. The post covers prerequisites, understanding the components of Ollama and Microsoft.Extensions.AI, project setup details, implementation steps including basic API structure, Ollama integration, and implementing AI functions. It also discusses advanced usage, error handling, performance optimization, testing, best practices, troubleshooting, and additional resources. The integration of AI capabilities into .NET applications is made easier with Microsofts release of Microsoft.Extensions.AI package. Ollama is an open-source platform that simplifies running Large Language Models (LLMs) locally and supports various models like Llama 3, Mistral, Gemma, Code Llama, and more. Microsoft.Extensions.AI provides unified abstractions for AI services, seamless integration with .NET dependency injection, and support for multiple AI providers. The post also includes steps on getting started by creating a new .NET API project, installing required packages, project setup in detail, and implementing AI functions with example code snippets. The tutorial offers insights into building intelligent APIs leveraging Ollamas LLMs and implementing custom function calling capabilities.
