01. Introduction To Semantic Kernel - What And Why 🌟 Unlock the Power of Semantic Kernel! 🌟

Are you ready to dive into the fascinating world of AI orchestration? In this series, I'll try to unravel the mysteries of the Semantic Kernel, an open-source SDK that bridges the gap between your existing code and cutting-edge AI models.
Whether you’re a developer, data scientist, or curious explorer, this video is your gateway to a smarter, more automated future.
Don’t forget to like, share, and comment below with your thoughts!
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[@nageshdeshmukh280]

Doing Excellent work 🙂

[@shweta-lodha]

Thank you! Cheers!

[@jim02377]

What is the difference between SK and a framework like Langchain?

[@shweta-lodha]

Great ask. Major difference is in terms of weight and number of tools supported. SK is light weight and follows a pipeline pattern with a support of native languages. SK has fewer built-in tool as compare to langchain but it has much better architecture. On the other hand, Langchain has lot many out-of-box tools and integration points and sometimes it could be overhead due to its excessive features. Hope this answers your question.

[@Swesh]

In addition to the author's reply.. they both are frameworks. SK is MS based and supports c# and py. LC is open sourced and supports JS and py.

[@PriyankaKumari-lx6wk]

Hi Shweta,
Please explain deeply about connectors and in azure open ai we can use all llm models

[@shweta-lodha]

Will try