LLM (Large Language Model)

LLMs are built using transformer-based neural network architectures and are trained to predict the next word or token in a sequence. Through this training process, they learn patterns in language, grammar, context, reasoning, and factual knowledge. Modern LLMs can perform a wide range of tasks, including answering questions, generating content, translating languages, writing code, summarizing documents, and interacting with external tools and data sources.

LLMs have become the foundation of modern generative AI, enabling organizations to automate knowledge work, enhance productivity, and build intelligent applications. However, because LLMs may process sensitive information and interact with enterprise systems, organizations should implement appropriate security, governance, and monitoring controls to address risks such as prompt injection, data leakage, hallucinations, and unauthorized actions.