What is recorded here?
The GPT-3 paper studied a large autoregressive language model performing many tasks from instructions and examples in its prompt, without task-specific gradient updates.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
This is a human-authored model and evaluation contribution. It does not turn every generated answer into a scientific result or establish reliable general intelligence. The pinned paper is v4; no extra benchmark package is counted.
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People and systems
Tom B. Brown; Benjamin Mann; Nick Ryder; Melanie Subbiah; Jared Kaplan; Prafulla Dhariwal; Arvind Neelakantan; Pranav Shyam; Girish Sastry; Amanda Askell; Sandhini Agarwal; Ariel Herbert-Voss; Gretchen Krueger; Tom Henighan; Rewon Child; Aditya Ramesh; Daniel M. Ziegler; Jeffrey Wu; Clemens Winter; Christopher Hesse; Mark Chen; Eric Sigler; Mateusz Litwin; Scott Gray; Benjamin Chess; Jack Clark; Christopher Berner; Sam McCandlish; Alec Radford; Ilya Sutskever; Dario Amodei
Source paper byline retained, including repeated label positions. Names are not verified unique identities or measurements of individual effort.
Research locations and affiliations
Partially documented · Country allocation withheld
Known associations: United States
The paper gives Jared Kaplan an additional Johns Hopkins University affiliation, supporting a United States institutional association. OpenAI is listed without geographic office assignments.
Still unresolved: Contribution-time geographic assignments for the OpenAI affiliations are not established by the paper. The United States association is not a complete country set.
The contribution keeps its own grade and score. Its country allocation remains unassigned until the geographic mapping is complete.
English catalogue narrative
GPT-3 and in-context few-shot language tasks
The GPT-3 paper studied a large autoregressive language model performing many tasks from instructions and examples in its prompt, without task-specific gradient updates.
Scientific scope
This is a human-authored model and evaluation contribution. It does not turn every generated answer into a scientific result or establish reliable general intelligence. The pinned paper is v4; no extra benchmark package is counted.
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
Tom B. Brown; Benjamin Mann; Nick Ryder; Melanie Subbiah; Jared Kaplan; Prafulla Dhariwal; Arvind Neelakantan; Pranav Shyam; Girish Sastry; Amanda Askell; Sandhini Agarwal; Ariel Herbert-Voss; Gretchen Krueger; Tom Henighan; Rewon Child; Aditya Ramesh; Daniel M. Ziegler; Jeffrey Wu; Clemens Winter; Christopher Hesse; Mark Chen; Eric Sigler; Mateusz Litwin; Scott Gray; Benjamin Chess; Jack Clark; Christopher Berner; Sam McCandlish; Alec Radford; Ilya Sutskever; Dario Amodei
Source paper byline retained, including repeated label positions. Names are not verified unique identities or measurements of individual effort.