AI can learn the language of biology to create artificial proteins across multiple protein types that are functional and unseen in nature.

We use smaller language models as generative classifiers to guide generation from larger language models. We show that this method can make generations friendlier, reduce bias and toxicity, and achieve zero-shot controllable generation of unseen topics.