Section 3: Improving NLP Models in Production

In this section, we will dive deep into some strategies for how to include a human in the loop for different purposes in a document processing workflow and cover best practices on how to autoscale your NLP inference for enterprise traffic.

This section comprises the following chapters:

• Chapter 13, Improving the Accuracy of Document Processing Workflows
• Chapter 14, Auditing Named Entity Recognition Workflows
• Chapter 15, Classifying Documents and Setting up Human in the Loop for Active Learning
• Chapter 16, Improving the Accuracy of PDF Batch Processing
• Chapter 17, Visualizing Insights from Handwritten Content
• Chapter 18, Building Secure, Reliable, and Efficient NLP Solutions