A Large Language Model (LLM) is an advanced type of artificial intelligence system trained on vast amounts of text data to understand and generate human-like language. Using deep learning architectures – most commonly transformer networks – LLMs can perform tasks such as writing, summarizing, translating, answering questions, and reasoning with context. These models learn patterns in grammar, semantics, and facts from their training data, allowing them to produce coherent and contextually relevant responses. Well-known examples include ChatGPT, Claude, and Gemini, which power chatbots, content tools, and enterprise AI solutions. As LLMs grow in size and capability, they raise new opportunities for productivity and creativity, along with challenges around accuracy, bias, and transparency.
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