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Gaming, Goats & General Intelligence with Frederic Besse
Google DeepMind: The Podcast
Integrating Language Models with Robotics Through Game Environments
Combining large language models with robotic agents can enhance their operational capabilities by leveraging the extensive knowledge contained within language models, enabling them to understand complex concepts and make plans in a language-based context. However, to effectively translate this understanding into actions in the real world or virtual environments, a bridge must be established. Games serve as an exceptional testing ground for this integration because of their diversity, rich experiences, and varied scenarios. The vast number of available games allows for the parallel simulation of numerous environments, which is not easily achievable in real-world applications. Additionally, games provide a safe environment for AI systems to learn and adapt, minimizing risks associated with physical failures. They also foster interaction between humans and agents, especially in multiplayer settings, while offering engaging and fun experiences that generate valuable data for training AI systems.
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