We introduce xVal, a new number encoding scheme for LLMs. Using xVal with a modified number inference method makes LLMs continuous function approximators. This makes them have a better inductive bias for data analysis in scientific domains.
To usher in a new class of machine learning for scientific data, building models that can leverage shared concepts across disciplines. We aim to develop, train, and release such foundation models for use by researchers worldwide.