We're excited to share our latest research: LOGOS.
AI for Science has produced powerful models for proteins, molecules, materials, reactions, and other scientific objects.
Every new task often requires a new model, a new training pipeline, and a new set of assumptions. Knowledge stays siloed.
This raises a question:
Can scientific data be modeled like language, through a shared generative framework?
To investigate this, we introduce LOGOS, a general-purpose generative foundation model for the natural sciences.
We'll also host an upcoming live session with the authors. More details soon.
A short thread 🧵
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