Large Language Model LLM

A Large Language Model (LLM) is a type of machine learning model trained on massive datasets of text to understand and generate human-like language. LLMs work by identifying patterns in language and using those patterns to predict and generate coherent responses, content, or decisions based on input prompts.

LLMs power many Generative AI applications—such as chatbots, coding assistants, and knowledge tools—and are capable of producing text, summarizing data, answering questions, or interacting across complex systems. While powerful, LLMs also introduce enterprise risks including:

• Inaccurate outputs (hallucinations)
• Privacy and data leakage
• High operational costs
• Intellectual property concerns
• Regulatory non-compliance

ModelOp provides governance capabilities for managing LLMs across the full AI lifecycle, including model inventory, risk tiering, usage tracking, prompt validation, and regulatory workflow enforcement—ensuring organizations can deploy LLMs with visibility, control, and accountability.