Large language models can generate, summarize, classify, extract, translate, and reason over text, and many can also work with code or multimodal inputs. Production applications usually combine the model with prompts, retrieval, tools, permissions, monitoring, and workflow logic. The concept matters when teams build production generative-AI applications that need reliable context, controlled outputs, evaluation, and connections to business data.
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