Part 3: Real-World Use Cases
In this part, we see how Semantic Kernel can be used in real-world problems. We learn how using the retrieval-augmented generation (RAG) technique can allow AI models to use large amounts of data, including very recent data that was not available when the AI service was trained. We conclude by learning how to use ChatGPT to distribute an application we wrote to hundreds of millions of users.
This part includes the following chapters:
- Chapter 7, Real-World Use Case – Retrieval-Augmented Generation
- Chapter 8, Real-World Use Case – Making Your Application Available on ChatGPT
