Maslow’s hierarchy of needs is the kind of “see it everywhere, can’t remember where you learned it” concept that pops up every so often in conversations about psychology, social issues and ...

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...

Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...

Andragogy promises autonomy and respect, but who decides when learners deserve it, and what counts as learning in the first place?

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...