Explore Google's new embodied and multimodal Large Language Model, PaLM-E, in this 33-minute video analysis. Dive into the model's architecture, its application in various robotics tasks, and the promising results showing positive transfer across different domains. Examine the potential implications and limitations of this technology, while gaining insights into the future of embodied AI. Follow along as the video breaks down the key components, from the model's inner workings to its performance in real-world scenarios, concluding with important takeaways for the field of robotics and language models.
Overview
Syllabus
- Intro
- How It Works
- Robotics Tasks
- Results
- Takeaways
Taught by
Edan Meyer