Jun 18, 2026 · Artificial Intelligence

From Bayesian Models to Generative Pre‑trained Transformers (GPT): A Brief History of Generative Learning

The article traces generative learning from its probabilistic roots in Bayesian classification, through Gaussian mixture models, hidden Markov models, N‑gram and neural language models, to attention mechanisms, Transformers and GPT, highlighting how each innovation expanded the ability to model data‑generating processes.

BayesianGPTGaussian Mixture

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From Bayesian Models to Generative Pre‑trained Transformers (GPT): A Brief History of Generative Learning