Today, my blog is here as a simple guide to semantic kernels.
"It is an open-source SDK for building agents, seamlessly integrating with C#, Python, Java, and AI models."
What is Semantic Kernel?
- Semantic Kernel is an open-source SDK that lets you easily build agents that can call your existing code. As a highly extensible SDK, you can use Semantic Kernel with models from OpenAI, Azure OpenAI, Hugging Face, and more! By combining your existing C#, Python, and Java code with these models, you can build agents that answer questions and automate processes.
- In semantic kernel, a semantic function is composed of two components: a prompt template and a configuration object.
What is next:
- Semantic Kernel enables developers to easily blend cutting-edge AI with native code, opening up a world of new possibilities for AI applications.
- This article could go on to discuss the features and benefits of Semantic Kernel, as well as some examples of how it is currently being used.
- Read more about conclusion.