arXiv:2508.15617cs.CLcs.AI2025-08

用微调的小模型替代大模型,降低销售营销文案生成成本

Trained Miniatures: Low cost, High Efficacy SLMs for Sales & Marketing

  • 将小语言模型微调用于销售营销场景
  • 生成效果接近大模型,成本仅为几分之一
  • 适合预算有限但需高质量文案的商业应用

大型语言模型(LLMs)在文本生成方面表现优异,但其生成过程计算量巨大,成本高昂。尤其在销售与市场营销等特定应用场景中,这种成本难以承受。本文提出「训练微型模型」(Trained Miniatures)的概念,即对小型语言模型(SLMs)进行微调,使其针对高价值任务生成领域特定的优质响应,实现以极低的成本达到接近大模型的效果。

原文摘要 · Abstract (English)

Large language models (LLMs) excel in text generation; however, these creative elements require heavy computation and are accompanied by a steep cost. Especially for targeted applications such as sales and marketing outreach, these costs are far from feasible. This paper introduces the concept of "Trained Miniatures" - Small Language Models(SLMs) fine-tuned for specific, high-value applications, generating similar domain-specific responses for a fraction of the cost.

小模型营销生成低成本

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。