Google Research describes ToolGrad, which starts from successful tool-use chains and then generates matching prompts. This reverses the common prompt-first process and uses execution feedback to improve the quality of training examples.

From the linked article:

ToolGrad generates successful tool-use chains before generating prompts, yielding a high pass rate.

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ToolGrad builds tool-use data from successful chains — image from the original post

Source: @GoogleResearch. This note summarizes the linked material; images belong to their respective creators.

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