Genomic Language Models for Protein Function and Property Prediction
In the field of natural language processing (NLP), large language models (LLMs) trained on enormous corpora of unlabeled sequence data have demonstrated state-of-the-art performance on a variety of downstream tasks. This approach is appealing because one model can be easily adapted to do well in man...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/156816 |