BioMatrix: A single decoder reads proteins, molecules, language on 304B tokens
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BioMatrix, a decoder-only biological foundation model, achieves SOTA on 77 of 80 tasks after training on 304B tokens of sequences, structures, and language. BioMatrix, a decoder-only model from an undisclosed lab, maps molecules, proteins, and language into one shared token space. Trained on 304B tokens, it achieves state-of-the-art on 77 of 80 biological tasks. Key facts 304B tokens in training corpus. Decoder-only architecture for sequences, structures, language. SOTA on 77 of 80 biological…
1Key Takeaways
- BioMatrix, a decoder-only biological foundation model, achieves SOTA on 77 of 80 tasks after training on 304B tokens of sequences, structures, and language.
- BioMatrix, a decoder-only model from an undisclosed lab, maps molecules, proteins, and language into one shared token space.
- Trained on 304B tokens, it achieves state-of-the-art on 77 of 80 biological tasks.
- Key facts 304B tokens in training corpus.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that bioMatrix, a decoder-only biological foundation model, achieves SOTA on 77 of 80 tasks after training on 304B tokens of sequences, structures, and language.
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