Researchers at UC Berkeley and Microsoft Research have developed Gorilla, a large language model that excels at generating accurate API calls. This LLaMA-based model outperforms state-of-the-art LLMs such as GPT-4 by mitigating the problem of hallucination and adapting to document changes at test time. Gorilla is trained on massive datasets from Torch Hub, TensorFlow Hub, and Hugging Face.

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Gorilla's code, model, data, and demo are now available on GitHub, with plans to add more domains such as Kubernetes, GCP, AWS, and OpenAPI.

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Max is managing editor at THE DECODER. As a trained philosopher, he deals with consciousness, AI, and the question of whether machines can really think or just pretend to.
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