⚡ AI NEWS WIRE · Michal Sutter · September 11, 2026
Google Research has released ToolGrad, an ACL 2026 Findings framework that inverts tool-use dataset generation: it builds a verified API chain first, then writes the matching user query. Guided by textual “gradients” from a 4-module propose-execute-select-update loop, ToolGrad reaches a 99.8% pass rate on ToolBench versus 63.8% for DFS search. Gemma-3-12B fine-tuned on only 500 samples scores 83.1 on BFCL, next to Gemini 2.5 Pro at 83.2. Code, dataset, and…
Source: MarkTechPost — read the full story →
📌 We track AI news like this daily on the GPTAIClips YouTube channel — new tools installed live, with free playbooks at gptaiclips.com/guides.