This course delves into the creation and utilization of synthetic data and datasets specifically tailored for training and enhancing large language models (LLMs). You'll explore various techniques for generating synthetic data, gain insights into effective dataset construction, and delve into advanced applications like code refactoring, debugging, and AI agent development, all empowered by the capabilities of LLMs.
