SourceScore

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. [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. [2] official blog · Google Research · 2022-04-04

    Pathways Language Model (PaLM): Scaling to 540 Billion Parameters

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PaLM introduced in paper: PaLM: Scaling Language Modeling with Pathways (Chowdhery et al., 2022). — SourceScore Claim d58d505fd9d705fe (verified 2026-05-16). https://sourcescore.org/api/v1/claims/d58d505fd9d705fe.json

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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()