Automatic Question Answers Practices with Large Language Models

This chapter mainly introduces the method for constructing a local knowledge-based automatic question-answering system with the large language model ERNIE 3.5. In the practical experiments of this chapter, readers only need to configure the relevant parameters and input questions and then leverage the generative capability of the large language model to derive corresponding answers. The implementation workflow of this application consists of three core modules: constructing the knowledge base index, designing the question query mechanism, and performing inference with the large language model. Readers can experience the relevant practice online by logging into AI Studio (Xinghe Community).