Verified claim · AI-ML · 100% confidence
InstructGPT introduced in: Ouyang et al. 2022 — RLHF-tuned GPT-3, direct ancestor of ChatGPT.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 590b9de765b8126e
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Structured fields
- Subject
- InstructGPT
- Predicate
introduced_in- Object
- Ouyang et al. 2022 — RLHF-tuned GPT-3, direct ancestor of ChatGPT
- Confidence
- 100%
- Tags
- instructgpt · openai · rlhf · alignment · foundational · 2022 · introduced_in
Sources (2)
[1] preprint · arXiv (Ouyang, Wu, Jiang, Almeida, Wainwright, Mishkin, Zhang, Agarwal, et al. / OpenAI) · 2022-03-04
Training language models to follow instructions with human feedback“Making language models bigger does not inherently make them better at following a user's intent. In this paper, we show an avenue for aligning language models with user intent on a wide range of tasks by fine-tuning with human feedback.”
[2] official blog · OpenAI · 2022-01-27
Aligning language models to follow instructionsOpenAI is rated by SourceScore — see its reliability →
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cURL
curl https://sourcescore.org/api/v1/claims/590b9de765b8126e.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/590b9de765b8126e.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "InstructGPT introduced in: Ouyang et al. 2022 — RLHF-tuned GPT-3, direct ancestor of ChatGPT."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/590b9de765b8126e.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "InstructGPT introduced in: Ouyang et al. 2022 — RLHF-tuned GPT-3, direct ancestor of ChatGPT."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_instructgpt_fact() -> dict:
"""Fetch the verified SourceScore claim for InstructGPT."""
r = httpx.get("https://sourcescore.org/api/v1/claims/590b9de765b8126e.json")
return r.json()