arXiv cs.AIPaper
Training Small Language Models for Transferable Tool Selection
This matters for anyone building agents that need to select from large tool sets. A Qwen 8B model outperforms a 402B closed model on ToolBench, and it generalizes. The implication is clear: you don't need API calls to Claude or GPT for tool selection, you can fine-tune a small model once and own it. For cost-sensitive agent deployments, this is actionable today.