Autonomous chemical research with large language models
Transformer-based large language models are making significant strides in various fields, such as natural language processing 1 – 5 , biology 6 , 7 , chemistry 8 – 10 and computer programming 11 , 12 . Here, we show the development and capabilities of Coscientist, an artificial intelligence system d...
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Published in | Nature (London) Vol. 624; no. 7992; pp. 570 - 578 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
21.12.2023
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | Transformer-based large language models are making significant strides in various fields, such as natural language processing
1
–
5
, biology
6
,
7
, chemistry
8
–
10
and computer programming
11
,
12
. Here, we show the development and capabilities of Coscientist, an artificial intelligence system driven by GPT-4 that autonomously designs, plans and performs complex experiments by incorporating large language models empowered by tools such as internet and documentation search, code execution and experimental automation. Coscientist showcases its potential for accelerating research across six diverse tasks, including the successful reaction optimization of palladium-catalysed cross-couplings, while exhibiting advanced capabilities for (semi-)autonomous experimental design and execution. Our findings demonstrate the versatility, efficacy and explainability of artificial intelligence systems like Coscientist in advancing research.
Coscientist is an artificial intelligence system driven by GPT-4 that autonomously designs, plans and performs experiments by incorporating large language models empowered by tools such as internet and documentation search, code execution and experimental automation. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 0028-0836 1476-4687 1476-4687 |
DOI: | 10.1038/s41586-023-06792-0 |