Verified claim · AI-ML · 100% confidence
GPT-3 introduced in paper: Language Models are Few-Shot Learners (Brown et al., 2020).
Last verified 2026-05-16 · Methodology veritas-v0.1 · 7d3e6a39b1656571
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Structured fields
- Subject
- GPT-3
- Predicate
introduced_in_paper- Object
- Language Models are Few-Shot Learners (Brown et al., 2020)
- Confidence
- 100%
- Tags
- gpt-3 · openai · few-shot · foundational · 2020 · nips
Sources (2)
[1] preprint · arXiv (Brown, Mann, Ryder, Subbiah, Kaplan, Dhariwal, Neelakantan, Shyam, Sastry, Askell, et al.) · 2020-05-28
Language Models are Few-Shot Learners“We train GPT-3, an autoregressive language model with 175 billion parameters, 10x more than any previous non-sparse language model, and test its performance in the few-shot setting.”
[2] peer reviewed · NeurIPS Foundation · 2020-12-06
Language Models are Few-Shot Learners (NeurIPS 2020)
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cURL
curl https://sourcescore.org/api/v1/claims/7d3e6a39b1656571.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/7d3e6a39b1656571.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "GPT-3 introduced in paper: Language Models are Few-Shot Learners (Brown et al., 2020)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/7d3e6a39b1656571.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "GPT-3 introduced in paper: Language Models are Few-Shot Learners (Brown et al., 2020)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_gpt_3_fact() -> dict:
"""Fetch the verified SourceScore claim for GPT-3."""
r = httpx.get("https://sourcescore.org/api/v1/claims/7d3e6a39b1656571.json")
return r.json()