LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents

Fuente: arXiv

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Bibliographic Details
Main Authors:	Yano, Taro, Ishibashi, Yoichi, Oyamada, Masafumi
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2505.21963