Chapter 5. Sequence-to-sequence models for building chatbots

We're learning a lot and doing some valuable work!  In our hypothetical business use case evolution this chapter builds directly on the previous chapter where we created our Natual Language Processing Pipeline.  The skills we learned so far in computational linguistics should give us the confidence to expand past the training examples in this book to tackle this next project. We're going to build a more advanced chatbot for our hypothetical restaurant chain to automate the process of fielding call in orders. 

This requirement would mean that we'd have to combine a number of technologies that we've learned so far. But for this project, we'll be interested in learning how to make a chatbot that is more contextually aware and robust that we could integrate into a larger system in this hypothetical. By demonstrating mastery on this training example, we'll have the confidence to execute this in a real situation.

In the previous chapters...