Summary

In this chapter, you have learned about a number of important strategies to improve the performance of NLU applications. You first learned how to do an initial survey of the data and identify possible problems with the training data. Then, you learned how to find and diagnose problems with accuracy. We then described different strategies to improve performance – specifically, adding data and restructuring the application. The final topic we covered was a review of problems that can occur in deployed applications and how they can be addressed.

In the final chapter, we will provide an overview of the book and a look to the future. We will discuss where there is potential for improvement in the state of the art of NLU performance, as well as faster training, more challenging applications, and what we can expect from NLU technology as the new LLMs become more widely used.