Models & ProductsLLM Architecture Updated 2026

GPT (Generative Pre-trained Transformer)

Definition

A family of decoder-only Transformer models that are pre-trained to predict the next token on large text corpora, then adapted to downstream tasks.

GPT denotes the generative pre-training recipe introduced by Radford et al. (2018): pre-train a decoder-only Transformer on unlabelled text, then fine-tune. Brown et al. (2020) scaled this to GPT-3 (175B parameters) and showed strong few-shot, in-context learning, establishing the template most modern LLMs follow.

OpenAI's ChatGPT is the best-known product built on this lineage, but "GPT" now broadly names the decoder-only, next-token-prediction approach.

References

Primary, peer-reviewed and archival sources for this definition.

Improving Language Understanding by Generative Pre-Training
Radford, A., Narasimhan, K., Salimans, T., & Sutskever, I. (2018). OpenAI Technical Report.
Language Models are Few-Shot Learners
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., et al. (2020). Advances in Neural Information Processing Systems 33 (NeurIPS 2020).

Dictionary & encyclopedic entries

Cite this entry

MultipleChat. "GPT (Generative Pre-trained Transformer)." MultipleChat AI & LLM Glossary, 2026. https://multiple.chat/ai-glossary/gpt

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