Researchers used videos from a toddler’s life to train an AI, called Child’s View for Contrastive Learning (CVCL), to understand language. The AI learned to link words to visual concepts with just a tiny portion of one child’s life experience.
The AI was tested on its ability to recognize and link words to images, and it showed promising results, nearly matching the performance of a state-of-the-art algorithm trained on significantly more data.
The study sheds light on how toddlers rapidly acquire language and concepts, and the potential for AI to learn like children with everyday experiences alone. It also paves the way for developing new AI models that learn like children and reshaping our understanding of language and concept acquisition.