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How foundation agents can revolutionize AI decision-making in the real world

New position paper introduces a framework for foundation agents, AI systems that can perform open-ended tasks in virtual and real worlds.

Join us next week in NYC to engage with top executive leaders, delving into strategies for auditing AI models to ensure optimal performance and accuracy across your organization. While language and vision models focus on understanding and generating content, foundation agents must be involved in the dynamic process of choosing optimal actions based on complex environmental information. Another critical domain is self-driving cars, where researchers are exploring how large language models can be used to integrate commonsense knowledge and human cognitive abilities into autonomous driving systems.

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