Small language models can now run directly on phones. But most of them stop learning the moment they...
Small language models can now run directly on phones. But most of them stop learning the moment they ship.
For personal AI, that feels like a strange stopping point. Some of the most useful signals arrive only after the model acts:
Did the user dismiss the notification?
Did they open it later?
Did they rewrite the suggestion?
On “Language Models Need Sleep,” and the slow death of the train/test split
How to close the loop between user behavior and LLM performance, and why human-in-the-loop systems are still essential in the age…
Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a…
A new study presented at ICML showed that language models trained with reinforcement learning can find and exploit loopholes to…
LLMs need vastly more data than children to learn language. Understanding why could help us create more efficient models—and…
When we started experimenting with AI translations, we assumed the biggest challenge would be...
