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Autonomous agent automates system identification using LLMs

Researchers have developed ASIA, an Autonomous System Identification Agent that uses a large language model to automate the process of system identification. This agent can autonomously select model classes, training algorithms, and tune hyperparameters based on a plain-English problem description. While ASIA shows promise in reducing expert time and empirical trial-and-error, the study also highlights limitations such as potential test leakage and transparency concerns. AI

影响 Automates complex system identification tasks, potentially reducing the need for expert intervention and accelerating research.

排序理由 The cluster describes a new research paper detailing an autonomous agent for system identification. [lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

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Autonomous agent automates system identification using LLMs

报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    ASIA: an Autonomous System Identification Agent

    Over the years, research in system identification has provided a rich set of methods for learning dynamical models, together with well-established theoretical guarantees. In practice, however, the choice of model class, training algorithm, and hyperparameter tuning is still large…