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Fine-tuning GPT-3 for machine learning electronic and functional properties of organic molecules

Research article (Chemical Science, 2023) · cited 45× · AI/ML
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Fine-tuning GPT-3 for machine learning electronic and functional properties of organic molecules

Summary

Fine-tuning GPT-3 for machine learning electronic and functional properties of organic molecules is a scholarly article[1].

Key Facts

  • Fine-tuning GPT-3 for machine learning electronic and functional properties of organic molecules's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Fine-tuning GPT-3 for machine learning electronic and functional properties of organic molecules. Retrieved May 24, 2026, from https://4ort.xyz/entity/fine-tuning-gpt-3-for-machine-learning-electronic-and-functional-properties-of-organic-molecules
MLA “Fine-tuning GPT-3 for machine learning electronic and functional properties of organic molecules.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fine-tuning-gpt-3-for-machine-learning-electronic-and-functional-properties-of-organic-molecules.
BibTeX @misc{4ortxyz_fine-tuning-gpt-3-for-machine-learning-electronic-and-functional-properties-of-organic-molecules_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fine-tuning GPT-3 for machine learning electronic and functional properties of organic molecules}}, year = {2026}, url = {https://4ort.xyz/entity/fine-tuning-gpt-3-for-machine-learning-electronic-and-functional-properties-of-organic-molecules}, note = {Accessed: 2026-05-24}}
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