Students often train large language models (LLMs) as part of a group. In that case, your group should implement robust access ...

Traditional large language models build text from left to right, one token at a time. They use a technique called " autoregression ." Each word must wait for all previous words before appearing.

BrainLLM performed best when reconstructing text that was unexpected or difficult for standard AI models to predict, suggesting that brain signals add valuable context beyond what AI alone can infer.