The introduction highlights the transformative integration of AI, particularly through large language models (LLMs), into .NET applications, offering architects and developers new opportunities to create intelligent software. Unlike traditional deterministic systems, LLMs can understand and generate contextually relevant responses. Semantic Kernel, an open-source project from Microsoft, empowers .NET developers to orchestrate AI effectively by providing a framework to connect LLMs with business logic and data. The guide outlines practical steps to build AI-driven applications, detailing core components such as the kernel, plugins, and memory management.
Key concepts include memory for maintaining context, the importance of prompt engineering to enhance LLM outputs, and connectors for integrating various data sources. Advanced features like planners allow dynamic workflow orchestration. Ultimately, the guide emphasizes creating intelligent agents capable of addressing real-world complexities, paving the way for the next generation of robust, AI-powered .NET applications.
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