Meet PaLM-E: A New 562-Billion Parameter Embodied Multimodal Language Model That Performs Tasks Such As Robotic Manipulation Planning, Visual QA

Strong reasoning abilities are displayed by large language models (LLMs) in a variety of fields, including conversation, step-by-step reasoning, math problem-solving, and code authoring. Although training LLMs on vast amounts of textual data can produce representations related to their physical environment, connecting those representations to real-world visual and physical sensor modalities is crucial to solving […]

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