' Distillation ' refers to the process of transferring knowledge from a larger model (teacher model) to a smaller model (student model), so that the distilled model can reduce computational costs ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A new study by Anthropic shows that ...

Fine-tuned “student” models can pick up unwanted traits from base “teacher” models that could evade data filtering, generating a need for more rigorous safety evaluations. Researchers have discovered ...

A recently conducted disturbing new study has uncovered a chilling flaw in how artificial intelligence learns. Termed as Subliminal learning, the phenomenon allows the AI models to absorb data’s ...

In our previous study 1, subjects carried out an attentionally demanding letter-identification task 7 in the fovea while a coherently moving, random-dot display that was below the visibility threshold ...

From a teacher’s body language, inflection, and other context clues, students often infer subtle information far beyond the lesson plan. And it turns out artificial-intelligence systems can do the ...