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A Guide to Fine-Tuning FunctionGemma
By Google Developers2026๋
2์ 9์ผ
**A Guide to Fine-Tuning FunctionGemma**
FunctionGemma is a specialized AI model for function calling. This post explains why fine-tuning is key to resolving tool selection ambiguity (e.g., internal vs. Google search) and achieving ultra-specialization, transforming it into a strict, enterprise-compliant agent. A case study demonstrates the improved logic. It also introduces the "FunctionGemma Tuning Lab," a no-code demo on Hugging Face Spaces, which streamlines the entire fine-tuning process for developers.
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**[devsupporter ํด์ค]**
์ด ๊ธฐ์ฌ๋ Google Developers์์ ์ ๊ณตํ๋ ์ต์ ๊ฐ๋ฐ ๋ํฅ์ ๋๋ค. ๊ด๋ จ ๋๊ตฌ๋ ๊ธฐ์ ์ ๋ํด ๋ ์์๋ณด์๋ ค๋ฉด ์๋ณธ ๋งํฌ๋ฅผ ์ฐธ๊ณ ํ์ธ์.
FunctionGemma is a specialized AI model for function calling. This post explains why fine-tuning is key to resolving tool selection ambiguity (e.g., internal vs. Google search) and achieving ultra-specialization, transforming it into a strict, enterprise-compliant agent. A case study demonstrates the improved logic. It also introduces the "FunctionGemma Tuning Lab," a no-code demo on Hugging Face Spaces, which streamlines the entire fine-tuning process for developers.
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**[devsupporter ํด์ค]**
์ด ๊ธฐ์ฌ๋ Google Developers์์ ์ ๊ณตํ๋ ์ต์ ๊ฐ๋ฐ ๋ํฅ์ ๋๋ค. ๊ด๋ จ ๋๊ตฌ๋ ๊ธฐ์ ์ ๋ํด ๋ ์์๋ณด์๋ ค๋ฉด ์๋ณธ ๋งํฌ๋ฅผ ์ฐธ๊ณ ํ์ธ์.
