Case Study 2 – Natural Language Processing

This chapter introduces you to natural language processing (NLP), where synthetic data is a key player. You will explore various applications of NLP models. Additionally, you will learn why these models usually require large-scale training datasets to converge and perform well in practice. At the same time, you will comprehend why synthetic data is the future of NLP. The discussion will be supported by a practical, hands-on example, as well as many interesting case studies from research and industry fields.

In this chapter, we’re going to cover the following main topics:

• A brief introduction to NLP
• The need for large-scale training datasets in NLP
• Hands-on practical example with ChatGPT
• Synthetic data as a solution for NLP problems