AI & RoboticsNews

DeepMind’s Talker-Reasoner framework brings System 2 thinking to AI agents

AI agents must solve a host of tasks that require different speeds and levels of reasoning and planning capabilities. Ideally, an agent should know when to use its direct memory and when to use more complex reasoning capabilities. However, designing agentic systems that can properly handle tasks based on their requirements remains a challenge. In a new paper, researchers at Google DeepMind…
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