A Guide to Fine-Tuning FunctionGemma
SMRTR summary
Google introduces fine-tuning techniques for FunctionGemma, their specialized AI model for function calling, addressing tool selection ambiguity where models must choose between similar functions. The post demonstrates training a model to distinguish between internal knowledge base searches versus Google searches, showing dramatic performance improvements. They also launch the FunctionGemma Tuning Lab, a no-code interface that streamlines the fine-tuning process without requiring Python expertise.
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