Verified claim · AI-ML · 100% confidence
Low-Rank Adaptation (LoRA) introduced in paper: LoRA: Low-Rank Adaptation of Large Language Models (Hu et al., 2021).
Last verified 2026-05-16 · Methodology veritas-v0.1 · d7b97d1b93d8d8bc
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Structured fields
- Subject
- Low-Rank Adaptation (LoRA)
- Predicate
introduced_in_paper- Object
- LoRA: Low-Rank Adaptation of Large Language Models (Hu et al., 2021)
- Confidence
- 100%
- Tags
- lora · fine-tuning · foundational · hu · 2021 · microsoft
Sources (2)
[1] preprint · arXiv (Hu, Shen, Wallis, Allen-Zhu, Li, Wang, Wang, Chen) · 2021-06-17
LoRA: Low-Rank Adaptation of Large Language Models“We propose Low-Rank Adaptation, or LoRA, which freezes the pretrained model weights and injects trainable rank decomposition matrices into each layer of the Transformer architecture, greatly reducing the number of trainable parameters for downstream tasks.”
[2] github release · Microsoft · 2021-06-30
LoRA reference implementation
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curl https://sourcescore.org/api/v1/claims/d7b97d1b93d8d8bc.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/d7b97d1b93d8d8bc.json");
const envelope = await r.json();
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// "Low-Rank Adaptation (LoRA) introduced in paper: LoRA: Low-Rank Adaptation of Large Language Models (Hu et al., 2021)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/d7b97d1b93d8d8bc.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Low-Rank Adaptation (LoRA) introduced in paper: LoRA: Low-Rank Adaptation of Large Language Models (Hu et al., 2021)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_low_rank_adaptation_lora_fact() -> dict:
"""Fetch the verified SourceScore claim for Low-Rank Adaptation (LoRA)."""
r = httpx.get("https://sourcescore.org/api/v1/claims/d7b97d1b93d8d8bc.json")
return r.json()