What is recorded here?
Combined transformer language-model pre-training on unlabeled text with supervised fine-tuning and reported transfer improvements across language-understanding tasks.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
This is the 2018 first GPT study, not the invention of transformers or pre-training generally. The reported results are specific to the paper's task suite.
Read the original work
- Radford and colleagues: generative pre-training for language understanding (GPT) — original paper
- Radford and colleagues: generative pre-training for language understanding (GPT) — company research source
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People and systems
Alec Radford; Karthik Narasimhan; Tim Salimans; Ilya Sutskever
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.
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English catalogue narrative
Radford and colleagues: generative pre-training for language understanding (GPT)
Combined transformer language-model pre-training on unlabeled text with supervised fine-tuning and reported transfer improvements across language-understanding tasks.
Scientific scope
This is the 2018 first GPT study, not the invention of transformers or pre-training generally. The reported results are specific to the paper's task suite.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Alec Radford; Karthik Narasimhan; Tim Salimans; Ilya Sutskever
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.