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@@ -17,7 +17,7 @@ Designed for robust performance, it achieves state-of-the-art results over a var
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  Based on the **M**olecular **A**ligned **M**ulti-**M**odal **A**rchitecture and **L**anguage (**MAMMAL**), a flexible, multi-domain architecture with an adaptable task prompt syntax.
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  The syntax allows for dynamic combinations of tokens and scalars, enabling classification, regression, and generation tasks either within a single domain or with cross-domain entities.
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- **TBD: add main paper figure when ready**
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  ## Model Summary
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  Based on the **M**olecular **A**ligned **M**ulti-**M**odal **A**rchitecture and **L**anguage (**MAMMAL**), a flexible, multi-domain architecture with an adaptable task prompt syntax.
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  The syntax allows for dynamic combinations of tokens and scalars, enabling classification, regression, and generation tasks either within a single domain or with cross-domain entities.
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+ ![Alt text](mammal.png)
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  ## Model Summary
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