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???? Gorilla: Massive Language Mannequin Linked with Huge APIs

???? Gorilla: Massive Language Mannequin Linked with Huge APIs

2023-05-25 12:05:00


Gorilla LLM logo

Gorilla is a LLM that may present the suitable API calls.
It’s educated on three large machine studying hub datasets: Torch Hub, TensorFlow Hub and HuggingFace.
Zero-shot Gorilla outperforms GPT-4, Chat-GPT and Claude.
Gorilla is extraordinarily dependable, and considerably reduces the hallucination errors.

We’re excited to listen to your suggestions and we welcome API contributions as we construct this open-source challenge.
Be a part of us on Discord or be at liberty to e-mail us!


Massive Language Fashions (LLMs) have seen a formidable wave of advances just lately,
with fashions now excelling in quite a lot of duties, corresponding to mathematical reasoning and program synthesis.
Nonetheless, their potential to successfully use instruments by way of API calls stays unfulfilled.
This can be a difficult activity even for at the moment’s state-of-the-art LLMs corresponding to GPT-4,
largely as a consequence of their lack of ability to generate correct enter arguments and their tendency to hallucinate the unsuitable utilization of an API name.
We launch Gorilla, a finetuned LLaMA-based mannequin that surpasses the efficiency of GPT-4 on writing API calls.
When mixed with a doc retriever, Gorilla demonstrates a powerful functionality to adapt to test-time doc adjustments, enabling versatile consumer updates or model adjustments.
It additionally considerably mitigates the problem of hallucination, generally encountered when prompting LLMs immediately.
To judge the mannequin’s means, we introduce APIBench, a complete dataset consisting of HuggingFace, TorchHub, and TensorHub APIs.
The profitable integration of the retrieval system with Gorilla demonstrates the potential for LLMs to make use of instruments extra precisely, sustain with often up to date documentation,
and consequently enhance the reliability and applicability of their outputs.
The mannequin and code of Gorilla can be found at

See Also


Gorilla LLM logo

Instance API calls generated by GPT-4, Claude, and Gorilla for the
given immediate. On this instance, GPT-4 presents a mannequin that doesn’t exist, and Claude
picks an incorrect library. In distinction, our mannequin, Gorilla, can determine the duty accurately
and counsel a fully-qualified API name.


  title={Gorilla: Massive Language Mannequin Linked with Huge APIs},
  creator={Shishir G. Patil and Tianjun Zhang and Xin Wang and Joseph E. Gonzalez},
  journal={arXiv preprint arXiv:2305.15334},

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