"The Transformer architecture introduced in 2017 became the T in GPT, combining neural attention mechanisms with generative pre-training."
OpenAI's early GPT research explicitly combined Transformers with unsupervised pre-training to develop a task-agnostic language model. This establishes the architectural connection between Google's Transformer research and the later GPT family.
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