LLMs for LangOps:
NLP Tasks and Prompting

This practical online course introduces language professionals to the use of large language models (LLMs) in language operations workflows. Through a combination of conceptual explanations and live demonstrations, the session explains how LLMs work at a high level and shows how they can be applied to a wide range of traditional and advanced language tasks using effective prompting.

Participants are guided through hands-on examples covering translation, revision, proofreading, terminology management, style guide enforcement, and quality assurance. The course demonstrates how to ground LLM output in reference materials such as glossaries, translation memories, and style guides using retrieval-augmented generation (RAG), and how to manage workflows using projects and task-specific AI assistants. Throughout the session, limitations and risks of LLMs—including semantic ambiguity, bias, non-determinism, and quality variability—are clearly addressed, with practical guidance on how to mitigate them in real-world language operations contexts