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How to Train a Real-World Silicon Concierge? Internalizing Complex Business Workflow to Only OneModel

Source
arxiv.org
Author
Chang Liu, Chaoyang Ning, Dayi Jiang, Enrui Gu, Fang Ran, Hongyan Xue, Huaqing Li, Hui Cai, Jia Liu, Jiang-Ming Yang, Jianshe Li, Jiawei Luo, Jin Zhou, Leshen Zhu, Lihui Chen, Liying Ma, Lyuxin Xue, Mengjian Ji, Ruijia Xu, Wei Ren, Wei Wu, Xiaoling Qu, Xiaoyun Feng, Xin Zhang, Xixie Zhou, Xuanwei Hu, Yan Chen, Yichao Wang, Yongqi Tong, Yu Liu, Yuhong Zhou, Zemin Sun, Zhenwen Xu, Zhiling Liu, Zifan Wang
Date
Why it matters

A production-scale argument against modular orchestration: internalizing workflow logic into the model removes the cascading errors and latency that come from patching a chain of components.

Terms in this piece · Glossary
  • pretraining — The first, biggest phase of building a model: training it on enormous amounts of text so it learns language, facts, and reasoning in general.
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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