[R] ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs - WeChat AI, Tencent Inc. 2023 - Open-source! Comparble performance to ChatGPT while using tools!

Paper: [https://arxiv.org/abs/2307.16789](https://arxiv.org/abs/2307.16789)

Github: [https://github.com/OpenBMB/ToolBench](https://github.com/OpenBMB/ToolBench)

Abstract:

>Despite the advancements of open-source large language models (LLMs) and their variants, e.g., LLaMA and Vicuna, they remain significantly limited in performing higher-level tasks, such as following human instructions to use external tools (APIs). This is because current instruction tuning largely focuses on basic language tasks instead of the tool-use domain. This is in contrast to state-of-the-art (SOTA) LLMs, e.g., ChatGPT, which have demonstrated excellent tool-use capabilities but are unfortunately closed source. To facilitate **tool-use …

abstract apis art contrast current human language language models large language large language models llama llms machinelearning sota state tool tools variants vicuna