Large Language Model
A large language model (LLM) is a deep learning model trained on vast amounts of text data that can understand, generate, and reason about human language with remarkable fluency.
In Depth
LLMs are the engine behind modern AI agents and chatbots. Models like GPT-5.4, Claude 4.6, and Gemini 3.1 are trained on billions of parameters using transformer architectures, giving them the ability to understand context, follow instructions, and generate coherent responses. In customer support, LLMs power the reasoning layer that allows AI agents to understand customer intent regardless of phrasing, generate personalized responses, summarize long conversation threads, and translate between languages in real time.
The key advantage over older NLP approaches is generalization — LLMs handle novel questions and edge cases without explicit training on each scenario, making them ideal for the unpredictable nature of customer conversations.
Related Terms
Natural Language Processing
Natural Language Processing (NLP) is a branch of AI that enables computers to understand, interpret, and generate human language in a meaningful way.
AI Agent
An AI agent is an autonomous software entity that perceives its environment, makes decisions, and takes actions to achieve specific goals without continuous human intervention.
Conversational AI
Conversational AI refers to technologies that enable computers to engage in natural, human-like dialogue, understanding context, maintaining conversation history, and generating relevant responses.
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