Robotics and AI
Existing large language models struggle with the physical laws of reality, making them unsuitable for robotics. RFM One, developed by Covariant, bridges this gap by utilizing a rich dataset from real-world interactions, enabling it to handle multimodal inputs and outputs. This innovative approach positions robotics to unlock efficiencies in the physical world, similar to those achieved in digital domains.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
774: RFM-1 Gives Robots Human-like Reasoning and Conversation Abilities — with @JonKrohnLearns
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