In the previous installments of this series, we established the foundation for an LLM-powered localization pipeline. In Part 2, we structured our approach further by transforming dictionary data, implementing chunking strategies, and creating translation guides to ensure consistency. We will dive into the critical elements of prompt engineering and validation – the components that determine how effectively our LLMs translate content and how we verify...