chrissiecsj/ToolPreference
Overview Large languange models (LLMs) currently still face significant challenges, such as the inability to obtain real-time information and difficulties in handling precise mathematical tasks. The emergence of tool-augmented LLMs provides new opportunities to address these issues. These models interact with external tools (usually APIs), serving as efficient bridges between users and applications. In the field of tool learning, the training of existing open-source models (such… See the full description on the dataset page: https://huggingface.co/datasets/chrissiecsj/ToolPreference.
| Author / organization | chrissiecsj |
|---|---|
| Downloads | 134 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 7 January 2025 |
| Last updated at source | 8 January 2025 |
Recent changes
- 16 Oct 2026 Description: Overview Large languange models (LLMs) currently still face significant challenges, such as the inability to obtain real-time information and difficulties in handling precise mathematical tasks. The emergence of tool-augmented LLMs provides → Overview Large languange models (LLMs) currently still face significant challenges, such as the inability to obtain real-time information and difficulties in handling precise mathematical tasks. The emergence of tool-augmented LLMs provides
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.