LLM4AD: A Platform for Algorithm Design with Large Language Model
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| Yayımlandı: | arXiv.org (Dec 23, 2024), p. n/a |
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| Yazar: | |
| Diğer Yazarlar: | , , , , , , , |
| Baskı/Yayın Bilgisi: |
Cornell University Library, arXiv.org
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| Konular: | |
| Online Erişim: | Citation/Abstract Full text outside of ProQuest |
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| Özet: | We introduce LLM4AD, a unified Python platform for algorithm design (AD) with large language models (LLMs). LLM4AD is a generic framework with modularized blocks for search methods, algorithm design tasks, and LLM interface. The platform integrates numerous key methods and supports a wide range of algorithm design tasks across various domains including optimization, machine learning, and scientific discovery. We have also designed a unified evaluation sandbox to ensure a secure and robust assessment of algorithms. Additionally, we have compiled a comprehensive suite of support resources, including tutorials, examples, a user manual, online resources, and a dedicated graphical user interface (GUI) to enhance the usage of LLM4AD. We believe this platform will serve as a valuable tool for fostering future development in the merging research direction of LLM-assisted algorithm design. |
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| ISSN: | 2331-8422 |
| Kaynak: | Engineering Database |