Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model

Kosuke Takahashi, Takahiro Omi, Kosuke Arima +1

This paper presents a simple and cost-effective method for synthesizing data to train question-answering systems. For training, fine-tuning GPT models is a common practice in resou…