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.

Try in SPARQL Jump to: Surface forms Statements Referenced by

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.

Tom B. Brown et al. hasCoAuthor Tom Henighan
subject surface form: Tom B. Brown
Tom B. Brown et al. author Tom Henighan
subject surface form: Language Models are Few-Shot Learners
Anthropic foundedBy Tom Henighan