Verified claim · AI-ML · 100% confidence
InstructGPT methodology introduced in paper: Training language models to follow instructions with human feedback (Ouyang et al., 2022).
Last verified 2026-05-16 · Methodology veritas-v0.1 · 5da8f8dffc038b8e
Structured fields
- Subject
- InstructGPT methodology
- Predicate
introduced_in_paper- Object
- Training language models to follow instructions with human feedback (Ouyang et al., 2022)
- Confidence
- 100%
- Tags
- instructgpt · alignment · openai · 2022 · ouyang · rlhf
Sources (2)
[1] preprint · arXiv (Ouyang et al., OpenAI) · 2022-03-04
Training language models to follow instructions with human feedback“We show an avenue for aligning language models with user intent on a wide range of tasks by fine-tuning with human feedback. … The resulting InstructGPT models show improvements in truthfulness and reductions in toxic output generation while having minimal performance regressions on public NLP datasets.”
[2] official blog · OpenAI · 2022-01-27
Aligning language models to follow instructions
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curl https://sourcescore.org/api/v1/claims/5da8f8dffc038b8e.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/5da8f8dffc038b8e.json");
const envelope = await r.json();
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// "InstructGPT methodology introduced in paper: Training language models to follow instructions with human feedback (Ouyang et al., 2022)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/5da8f8dffc038b8e.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "InstructGPT methodology introduced in paper: Training language models to follow instructions with human feedback (Ouyang et al., 2022)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_instructgpt_methodology_fact() -> dict:
"""Fetch the verified SourceScore claim for InstructGPT methodology."""
r = httpx.get("https://sourcescore.org/api/v1/claims/5da8f8dffc038b8e.json")
return r.json()