Sabyasachi Samaddar continues a series on generating video from a series of text prompts:
Welcome back to the second part of our journey into the world of Azure and OpenAI! In the first part, we explored how to transform text into video using Azure’s powerful AI capabilities. This time, we’re taking a step further by orchestrating our application flow with Semantic Kernel.
Semantic Kernel is a powerful tool that allows us to understand and manipulate the meaning of text in a more nuanced way. By using Semantic Kernel, we can create more sophisticated workflows and generate more meaningful results from our text-to-video transformation process.
In this part of the series, we will focus on how Semantic Kernel can enhance our application and provide a smoother, more efficient workflow. We’ll dive deep into its features, explore its benefits, and show you how it can revolutionize your text-to-video transformation process.
Read on for an understanding of how Semantic Kernel fits in and what you can do with it.