Generative language reconstruction from brain recordings

Generative language reconstruction from brain recordings

Language reconstruction from non-invasive brain recordings has been a long-standing challenge. Existing research has addressed this challenge with a classification setup, where a set of language candidates are pre-constructed and then matched with the representation decoded from brain recordings. Here, we propose a method that addresses language reconstruction through auto-regressive generation, which directly uses the representation decoded fro…

Language Concept Models: The Next Leap in Generative AI

Language Concept Models: The Next Leap in Generative AI What’s next for generative AI? ? Aaron Baughman explores how Language Concept Models (LCMs) are transforming AI by reasoning at a concept level, not just tokens. Discover how embeddings, encoder-decoder architectures, and hierarchical abstraction are driving the future of AI innovation. ? #generativeai #lcp #llm #ai Credit to : IBM Technology The post Language Concept Models: The Next Leap …