What is a large language model?

A large language model (LLM) is a type of Generative Artificial Intelligence (Gen AI) trained on vast text data using self‑supervised learning to model and predict patterns in human language. Built using deep Natural Language Processing (NLP) techniques and often containing billions of parameters, after alignment or task‑specific fine-tuning LLMs can generate fluent, context-aware responses across a wide range of topics. Well-known examples include GPT-based tools like ChatGPT. 

What is a large language model used for? 

LLMs are used to power everything from chatbots and voice assistants to content generation, translation, summarization, and question answering. In content operations, they can assist with auto-tagging, content enrichment, content variation, and even help create atomic content within a Component Content Management System (CCMS). 

Why is a large language model useful? 

For content professionals, LLMs unlock serious productivity gains. They can accelerate structured content authoring, enhance content intelligence, and streamline localisation workflows by working alongside systems like a Translation Management System (TMS) or a Content Management System (CMS). When used in tandem with human oversight and explainable guardrails (like Explainable AI), they help teams work faster, smarter, and with more consistency.