新闻
Large Language Models as a Universal Searcher for Open-World Automated Machine Learning
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers propose NCode, an LLM-based AutoML framework that jointly optimizes model architecture, hyperparameters, and data ratios across diverse tasks without task-specific fine-tuning.
- 为何重要
- Matters for ML engineers building production systems who currently spend time manually tuning separate components or running domain-specific AutoML tools independently.
- 注意
- Trained only on vision task trajectories; generalization to other domains and whether performance gains justify computational costs remain unclear from this abstract.
- llm
- language model
- fine-tun
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