May 25, 2023, 3:42 p.m. | /u/Singularian2501

Machine Learning www.reddit.com

Paper: [https://arxiv.org/abs/2305.15334](https://arxiv.org/abs/2305.15334)

Github: [https://github.com/ShishirPatil/gorilla](https://github.com/ShishirPatil/gorilla)

BLog: [https://gorilla.cs.berkeley.edu/](https://gorilla.cs.berkeley.edu/)

Abstract:

>Large Language Models (LLMs) have seen an impressive wave of advances recently, with models now excelling in a variety of tasks, such as mathematical reasoning and program synthesis. However, their potential to effectively use tools via API calls remains unfulfilled. This is a challenging task even for today's state-of-the-art LLMs such as GPT-4, largely due to their inability to generate accurate input arguments and their tendency to hallucinate the wrong usage of an …

abstract api art gpt gpt-4 language language models large language models llms machinelearning reasoning state synthesis tools

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