Skip to content
Chinese researchers confirmed for the first time that artificial intelligence Large linguistic models can create an automatic human system to understand and sort natural things, a process that is considered a pillar of human perception.
It provides new evidence in a discussion about the cognitive ability of artificial intelligence models, indicating that the artificial systems that reflect the main aspects of human thinking may be possible.
“Understanding how humans and classifying natural things provide decisive visions of perception and perception,” the team said in a paper published in the magazine of Nature Machine Intelligence on Tuesday.
“With LLMS models, a major question arises: Can these models develop representatives of human -like creatures from linguistic and multi -media data?”
LLMS are Amnesty International models trained in a wide amount of text data – along with visual and sound data in the case of large multimedia language models (MLMS) – to process tasks.