Building AI-Driven Localization Pipelines

Intensive course on designing AI-driven localization pipelines: automation, context, MT, and quality control, with humans in control.

This course focuses on practical strategies and tools for leveraging artificial intelligence, large language models (LLMs), machine translation (MT), and machine translation quality estimation (MTQE) to optimize localization workflows. Participants will learn to integrate these technologies into efficient pipelines, ensuring both automation and human oversight for quality control.