Tom Henighan
E461713
Tom Henighan is a researcher and co-author known for his work in large-scale language models and AI, including contributions to influential OpenAI publications.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tom Henighan canonical | 3 |
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence researcher
ⓘ
computer scientist ⓘ researcher ⓘ |
| affiliation | OpenAI NERFINISHED ⓘ |
| coAuthorOf |
GPT-3 related research publications
ⓘ
Scaling Laws for Neural Language Models NERFINISHED ⓘ Training Compute-Optimal Large Language Models NERFINISHED ⓘ |
| coAuthorWith |
Dario Amodei
NERFINISHED
ⓘ
Jared Kaplan NERFINISHED ⓘ OpenAI research team members ⓘ Sam McCandlish NERFINISHED ⓘ |
| contributedTo | development of large-scale language models at OpenAI ⓘ |
| employer | OpenAI NERFINISHED ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
machine learning ⓘ natural language processing ⓘ |
| knownFor |
contributions to OpenAI research publications
ⓘ
research on scaling laws for language models ⓘ work on large-scale language models ⓘ |
| notableWork |
analysis of model performance versus scale
ⓘ
research on compute-optimal training of language models ⓘ |
| occupation |
AI researcher
ⓘ
machine learning scientist ⓘ |
| researchArea |
compute-optimal model design
ⓘ
large language model training efficiency ⓘ scaling behavior of neural networks ⓘ |
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Tom B. Brown
subject surface form:
Language Models are Few-Shot Learners