Case StudyJanuary 4, 202612 min read
How We Trained a 14B Model to Beat GPT-4 on Gmail Agentic Tasks
Small Language Models aren't just cheaper—they can be better. We fine-tuned Qwen2.5-14B to outperform GPT-4 and Claude Sonnet on domain-specific agentic tasks, achieving 91.8% accuracy at 250x lower cost.
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