핵심 개념
Tools are essential for enhancing language models' performance in various tasks, providing external programs to extend their capabilities.
통계
Many works provide tool information through a prompt and expect LMs to acquire abilities to use these tools from input contexts.
Inference-time prompting Leveraging the ability of LMs to learn in-context (Brown et al., 2020), many works provide tool information through a prompt and expect LMs to acquire abilities to use these tools from input contexts.
Beyond learning tools from test-time contexts, LMs can learn from examples that use these tools during training.
인용구
"Tools have substantially enhanced their performance for tasks that require complex skills." - Abstract
"Some works introduce application-specific software as tools." - Content
"Inspired by the tools used by humans...some works introduce application-specific software as tools." - Content