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A large language model is a computerized language model consisting of an artificial neural network with many parameters, trained on large quantities of unlabeled text using self-supervised learning or semi-supervised learning. LLMs emerged around 2018 and perform well at a wide variety of tasks.
Large language models have performative usages such as creating generative images, writing, information, and language, and through their usage, perform many extraordinary feats that typically hold exclusionary function-ship within humans and not machines such as creative thinking, ideation, research, formulation thinking, conclusive outputs, and rationale thinking.
Large language model perplexities vary with the amount of unlabeled information and tokenization content that can be converted into useful information for the machine learning process.