Verified claim · AI-ML · 100% confidence
PaLM introduced in paper: PaLM: Scaling Language Modeling with Pathways (Chowdhery et al., 2022).
Last verified 2026-05-16 · Methodology veritas-v0.1 · d58d505fd9d705fe
Structured fields
- Subject
- PaLM
- Predicate
introduced_in_paper- Object
- PaLM: Scaling Language Modeling with Pathways (Chowdhery et al., 2022)
- Confidence
- 100%
- Tags
- palm · google · pathways · foundational · 2022 · parameter-count · 540b
Sources (2)
[1] preprint · arXiv (Chowdhery, Narang, Devlin, Bosma, Mishra, Roberts, et al.) · 2022-04-05
PaLM: Scaling Language Modeling with Pathways“We trained a 540-billion parameter, densely activated, Transformer language model, which we call Pathways Language Model PaLM. … PaLM 540B achieves breakthrough performance, outperforming the finetuned state-of-the-art on a suite of multi-step reasoning tasks.”
[2] official blog · Google Research · 2022-04-04
Pathways Language Model (PaLM): Scaling to 540 Billion Parameters
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curl https://sourcescore.org/api/v1/claims/d58d505fd9d705fe.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/d58d505fd9d705fe.json");
const envelope = await r.json();
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// "PaLM introduced in paper: PaLM: Scaling Language Modeling with Pathways (Chowdhery et al., 2022)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/d58d505fd9d705fe.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "PaLM introduced in paper: PaLM: Scaling Language Modeling with Pathways (Chowdhery et al., 2022)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_palm_fact() -> dict:
"""Fetch the verified SourceScore claim for PaLM."""
r = httpx.get("https://sourcescore.org/api/v1/claims/d58d505fd9d705fe.json")
return r.json()