November 2021
Beginner to intermediate
508 pages
10h 18m
English
Content preview from Natural Language Processing with AWS AI Services
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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
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