Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...

In practice, the choice between small modular models and guardrail LLMs quickly becomes an operating model decision.

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the scientific journal ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

This AI system identifies clinically significant valvular heart disease from stethoscope recordings, achieving near-clinical ...