arXiv · Machine Learning Theory· Zelin Zhao (Georgia Institute of Technology), Xinyu Guo (Georgia Institute of Technology), Jingyuan Zhang (Georgia Institute of Technology), Yuxuan Zhang (Etude AI), Yongxin Chen (Georgia Institute of Technology)·· 16 小时前AI 评分32
将 LLM 用作智能体的成本分析
Harnessing LLMs as Agents: What Does It Cost?
AI 导读
论文提出 Language Model Agent Machine（LAM），一种在固定底层语义模型的同时显式计费 harness 层资源的资源受限抽象。
来源：arXiv · Machine Learning Theory · arxiv.org