Waymo released a research paper outlining its use of Google’s Gemini multimodal large language model to train its robotaxis.
Waymo has long touted its ties to Google’s DeepMind and its decades of AI research as a strategic advantage over its rivals in the autonomous driving space. Now, the Alphabet-owned company is taking it a step further by developing a new training model for its robotaxis built on Google’s multimodal large language model Gemini. Waymo released a new research paper today that introduces an “End-to-End Multimodal Model for Autonomous Driving,” also known as EMMA.
Waymo says that MLLMs like Gemini present an interesting solution to some of these challenges for two reasons: the chat is a “generalist” trained on vast sets of scraped data from the internet “that provide rich ‘world knowledge’ beyond what is contained in common driving logs”; and they demonstrate “superior” reasoning capabilities through techniques like “chain-of-thought reasoning,” which mimics human reasoning by breaking down complex tasks into a series of logical steps.
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