Semantic Kernel is designed to help developers build AI applications by providing a set of tools and libraries that facilitate the integration of large language models (LLMs) into their applications.
It supports various AI tasks such as text generation, understanding, and transformation. Features are listed as below:
Extensibility: Developers can extend the framework to add custom functionalities or integrate additional AI models.
Interoperability: Semantic Kernel can work with different AI models and services, making it versatile for various applications.
Ease of Use: The framework provides a user-friendly API that simplifies the process of integrating AI capabilities into applications.