Welcome to this exciting video where we will be discussing PaLM-E, a groundbreaking multimodal embodied visual-language model created by a team of AI researchers from Google and the Technical University of Berlin. This cutting-edge model boasts a staggering 562 billion parameters and can perform an array of tasks without the need for retraining. With PaLM-E, robots can analyze data from their surroundings without the need for pre-processing or data annotation, resulting in more autonomous robotic control. In this video, we'll delve deeper into how PaLM-E works and how it can improve the capabilities of robotic systems. We'll also take a look at other research groups, like Microsoft, who are exploring the combination of visual data and large language models for robotic control. So, buckle up and get ready to learn about the future of robotics!

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