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Achieving GPT-4o level performance in astronomy with a specialized 8B-parameter large language model
by
Wells, Azton
, Ramachandra, Nesar
, de Haan, Tijmen
, Nguyen, Tuan Dung
, Sun, Zechang
, Accomazzi, Alberto
, Ghosal, Tirthankar
, Pan, Rui
, Ting, Yuan-Sen
in
639/33/34
/ 639/766/34/861
/ AI assistant
/ Astronomy
/ Astrophysics
/ Continued pretraining
/ Cosmology
/ Datasets
/ Humanities and Social Sciences
/ Instrumentation
/ Language
/ Large language models
/ Large-language model
/ multidisciplinary
/ Natural language
/ Preprints
/ Science
/ Science (multidisciplinary)
/ Space telescopes
/ Supervised fine-tuning
2025
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Achieving GPT-4o level performance in astronomy with a specialized 8B-parameter large language model
by
Wells, Azton
, Ramachandra, Nesar
, de Haan, Tijmen
, Nguyen, Tuan Dung
, Sun, Zechang
, Accomazzi, Alberto
, Ghosal, Tirthankar
, Pan, Rui
, Ting, Yuan-Sen
in
639/33/34
/ 639/766/34/861
/ AI assistant
/ Astronomy
/ Astrophysics
/ Continued pretraining
/ Cosmology
/ Datasets
/ Humanities and Social Sciences
/ Instrumentation
/ Language
/ Large language models
/ Large-language model
/ multidisciplinary
/ Natural language
/ Preprints
/ Science
/ Science (multidisciplinary)
/ Space telescopes
/ Supervised fine-tuning
2025
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Achieving GPT-4o level performance in astronomy with a specialized 8B-parameter large language model
by
Wells, Azton
, Ramachandra, Nesar
, de Haan, Tijmen
, Nguyen, Tuan Dung
, Sun, Zechang
, Accomazzi, Alberto
, Ghosal, Tirthankar
, Pan, Rui
, Ting, Yuan-Sen
in
639/33/34
/ 639/766/34/861
/ AI assistant
/ Astronomy
/ Astrophysics
/ Continued pretraining
/ Cosmology
/ Datasets
/ Humanities and Social Sciences
/ Instrumentation
/ Language
/ Large language models
/ Large-language model
/ multidisciplinary
/ Natural language
/ Preprints
/ Science
/ Science (multidisciplinary)
/ Space telescopes
/ Supervised fine-tuning
2025
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Achieving GPT-4o level performance in astronomy with a specialized 8B-parameter large language model
Journal Article
Achieving GPT-4o level performance in astronomy with a specialized 8B-parameter large language model
2025
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Overview
AstroSage-Llama-3.1-8B is a domain-specialized natural-language AI assistant tailored for research in astronomy, astrophysics, cosmology, and astronomical instrumentation. Trained on the complete collection of astronomy-related arXiv papers from 2007 to 2024 along with millions of synthetically-generated question-answer pairs and other astronomical literature, AstroSage-Llama-3.1-8B demonstrates remarkable proficiency on a wide range of questions. AstroSage-Llama-3.1-8B scores 80.9% on the AstroMLab-1 benchmark, greatly outperforming all models—proprietary and open-weight—in the 8-billion parameter class, and performing on par with GPT-4o. This achievement demonstrates the potential of domain specialization in AI, suggesting that focused training can yield capabilities exceeding those of much larger, general-purpose models. AstroSage-Llama-3.1-8B is freely available, enabling widespread access to advanced AI capabilities for astronomical education and research.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Springer Science and Business Media LLC,Nature Portfolio
Subject
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