Project dossier

I have trained a model to predict my blood sugar (Part 2) [P]

Learning from data as we observe it is easy for humans, but most machine learning models have limited ability to learn from new data that they have not seen during training. Prior-fitted networks (the idea behind TabPFN) showed that a model trained only on synthetic data can learn from real tabular data entirely in context. I wanted to share our paper "Learning to Learn a Language" where we extend the idea to structured sequences such as natural language. We propose a prior over languages: every