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THE DAILY INDEX

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TOOLGRAD: EFFICIENT TOOL-USE DATASET GENERATION WITH TEXTUAL “GRADIENTS”

Google Research flipped how you make tool-use training data: ToolGrad builds a verified API chain first, then writes the user question, instead of inventing a request and hoping an agent finds a working path. That answer-first loop hit a 99.8% success rate on 16,000 real APIs, and a Gemma 3 12B model trained on just 500 of those examples matched Gemini 2.5 Pro on a tool-use test with APIs it had never seen.

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