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Semantic Kernel is an open-source SDK that allows developers to integrate large language models (LLMs) with conventional programming languages. It provides a framework for combining AI capabilities with existing code, enabling the creation of intelligent applications that can leverage the power of generative AI while maintaining control over business logic and data. Developers can use Semantic Kernel to orchestrate AI plugins, manage memory, and build agents that interact with various services and data sources. This SDK is designed for developers looking to build sophisticated AI applications that go beyond simple API calls to LLMs. It's particularly useful for scenarios requiring complex AI workflows, integration with enterprise systems, and the need for explainable and controllable AI behavior. By providing structured components like plugins and memory, Semantic Kernel helps in creating more reliable, scalable, and maintainable AI solutions.

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