精选理由
微调 Qwen 能跑赢大模型，还省 10-100 倍成本，适合大批量任务。
LangChain 与 FireworksAI 合作研究显示，微调后的阿里巴巴 Qwen 模型在所有规模上性能优于原版模型。与使用顶级前沿模型相比，微调模型在规模运行时可降低 10-100 倍成本，具体取决于追踪数量和模型选择。随着追踪量增长，微调模型的成本节约效果将更加显著。该结果基于对多个模型规模和基准的对比测试。
原文 · LangChain
Fine-tuned models match frontier performance In our research with @FireworksAI_HQ, a fine-tuned @Al...
Fine-tuned models match frontier performance In our research with @FireworksAI_HQ , a fine-tuned @Alibaba_Qwen outperformed all model sizes. They’re also cheaper to run at scale 10-100x depending on trace volume and model choice As trace volumes grow, so will cost-savings on fine-tuned models. 💬 1 🔄 1 ❤️ 3 👀 1372 📊 2 ⚡