Bridging the Gap Between AI Research and Production with Semantic Kernel
Alex Chao Alex Chao
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 Published On Jun 1, 2024

AI experts and enterprise development teams often use different tech stacks with different concepts and resource types. Now that Semantic Kernel is V1.0 in Python, C#, and Java though, your teams now have the opportunity to speak the same language. With Semantic Kernel, ML teams can create the same assets for plugins, planners, and agents, evaluate them, and then give them to app dev teams to deploy them.

Watch my colleague Matthew share how Semantic Kernel in all its flavors (Python, C#, and Java) can help you bridge the gap for building AI apps for your enterprise.

To join a future Semantic Kernel office hours session, be sure to add the event to your calendar!
https://github.com/microsoft/semantic...

And join the conversation on Discord!
https://aka.ms/SKDiscord

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