Today we’re featuring Vyshag Vadakara and Prasanth Thekkelthody from Orion Innovation and a recent article Vyshag published focused on Orion’s usage of Microsoft Semantic Kernel. The article is linked here: Discover the Magic of Microsoft’s Semantic Kernel Arguments.

 

Getting Started

The article highlights the benefits of using Semantic Kernel and the best way to learn through exploring the samples provided in the repository. The article highlights the key benefits of Kernel Arguments.

As Vyshag details in the article, “One of the features of the Semantic Kernel is its Kernel Arguments. These arguments act like a dictionary of key-value pairs, storing information for later use during the execution of a kernel object. But what makes Kernel Arguments truly magical is something I recently discovered through a real-world scenario.

Imagine this: you’re working on a complex AI project, and you’re expecting to spend hours manually defining and managing countless parameters. I faced this exact situation while developing a feature using Kernel plugins.

While working with plugins, I needed to pass various parameters to the Kernel dynamically. Initially, I thought I would have to manually define each parameter, which seemed daunting. Then, I discovered that with the power of Large Language Models (LLM), the Semantic Kernel allows you to control and specify parameters via prompts. These parameters are then dynamically added to the Kernel Arguments. Instead of manually adding each parameter, I could use prompts to guide the Semantic Kernel, making the process efficient and error-free.”

To get started, visit the article to see detailed code examples and learn more: Discover the Magic of Microsoft’s Semantic Kernel Arguments

Conclusion

From the Semantic Kernel team, we want to thank the Orion Innovation team for their time. We’re always interested in hearing from you. If you have feedback, questions or want to discuss further, feel free to reach out to us and the community on the Semantic Kernel GitHub Discussion Channel! We would also love your support, if you’ve enjoyed using Semantic Kernel, give us a star on GitHub.

Thanks again to the Orion Innovation team for their amazing work and partnership!