all AI news
Stanford U & Google’s Generative Agents Produce Believable Proxies of Human Behaviours
Synced syncedreview.com
In the new paper Generative Agents: Interactive Simulacra of Human Behavior, a team from Stanford University and Google Research presents agents that draw on generative models to simulate both individual and emergent group behaviours that are humanlike and based on their changing experiences and environment.
The post Stanford U & Google’s Generative Agents Produce Believable Proxies of Human Behaviours first appeared on Synced.
agents ai artificial intelligence behavior deep-neural-networks environment generative generative-model generative models google google research human humanlike interactive language model machine learning machine learning & data science ml paper proxies research stanford stanford university team technology university