Pith Number

pith:IPDYF7WA

pith:2023:IPDYF7WAL2JQY73ECA6M6ZKLS7

not attested not anchored not stored refs resolved

ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

Boxi Cao, Hongyu Lin, Le Sun, Qiao Liang, Qiaoyu Tang, Xianpei Han, Ziliang Deng

Compact language models can learn to use new real-world tools by training on simulated multi-agent interactions.

arxiv:2306.05301 v2 · 2023-06-08 · cs.CL

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\pithnumber{IPDYF7WAL2JQY73ECA6M6ZKLS7}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Experimental results demonstrate that ToolAlpaca achieves effective generalized tool-use capabilities comparable to those of extremely large language models like GPT-3.5, demonstrating that learning generalized tool-use ability is feasible for compact language models.

C2weakest assumption

The simulated multi-agent interactions produce training data whose distribution is close enough to real-world tool use that fine-tuned models generalize to unseen APIs without additional per-tool supervision.

C3one line summary

ToolAlpaca trains 7B and 13B models on 3938 simulated tool-use cases to reach generalized tool-use performance comparable to GPT-3.5 on unseen APIs.

References

34 extracted · 34 resolved · 2 Pith anchors

[1] API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs 2023 · arXiv:2304.08244

[2] HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face 2023 · arXiv:2303.17580

[3] On the tool manipulation capability of open-source large language models.arXiv preprint arXiv:2305.16504(2023) 2023

[4] Write a general overview of the API 's purpose and functionality

[5] List and briefly describe all features provided by the API, ensuring each feature has a clear and distinct purpose with low coupling between them

Formal links

2 machine-checked theorem links

Cited by

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Receipt and verification

First computed	2026-05-17T23:38:49.853235Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

43c782fec05e930c7f64103ccf654b97d85382871ba7af91c76cfd7468ad415a

Aliases

arxiv: 2306.05301 · arxiv_version: 2306.05301v2 · doi: 10.48550/arxiv.2306.05301 · pith_short_12: IPDYF7WAL2JQ · pith_short_16: IPDYF7WAL2JQY73E · pith_short_8: IPDYF7WA

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/IPDYF7WAL2JQY73ECA6M6ZKLS7 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 43c782fec05e930c7f64103ccf654b97d85382871ba7af91c76cfd7468ad415a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9c9c6a40f471db00bc795491a595370a6b25f237c8ce7cac442ef63a1e1bb3ea",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2023-06-08T15:46:32Z",
    "title_canon_sha256": "512f61380dab930691294793664126497ef486c232611cee5338df827f315f40"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2306.05301",
    "kind": "arxiv",
    "version": 2
  }
}