Semantic Kernel
#7in Agent PlatformsWhat is Semantic Kernel?
It is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. It achieves this by allowing you to define plugins that can be chained together in just a few lines of code.
Semantic Kernel is a tool in the Agent Platforms category of a tech stack.
Key Features
SDK that integrates LLMs with conventional programming languagesHas the ability to automatically orchestrate plugins with AIHighly extensible
Semantic Kernel Pros & Cons
Pros of Semantic Kernel
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Cons of Semantic Kernel
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Semantic Kernel Alternatives & Comparisons
What are some alternatives to Semantic Kernel?
LangChain
It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
Vercel AI SDK
It is an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.
Hugging Face
Build, train, and deploy state of the art models powered by the reference open source in machine learning.
