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Springer Science and Business Media LLC
Reference35 articles.
1. Thirunavukarasu, A. J. et al. Large language models in medicine. Nat. Med. 29, 1930–1940 (2023).
2. OpenAI et al. GPT-4 technical report. Preprint at https://doi.org/10.48550/arXiv.2303.08774 (2024).
3. Lin, Z. et al. Evolutionary-scale prediction of atomic-level protein structure with a language model. Science 379, 1123–1130 (2023). This paper introduces ESM-2, a powerful protein language model, and ESMFold, a model that uses ESM-2 as a foundation to predict protein structure.
4. Theodoris, C. V. et al. Transfer learning enables predictions in network biology. Nature 618, 616–624 (2023). This paper introduces Geneformer, a single-cell language model trained on gene expression profiles of single-cell transcriptomes.
5. Vaswani, A. et al. In Proc. Advances in Neural Information Processing Systems 30 (eds. Guyon, I. et al.) 5998–6008 (Curran Associates, 2017). This paper introduces the transformer architecture, which powers all of the language models discussed in this paper and much of the field at large.
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