In this episode of the AI Marketing Navigator, Alex Carlson discusses Large Behavior Models (LBMs), explaining their purpose, how they differ from Large Language Models (LLMs), and their applications in various fields such as robotics and healthcare. He highlights the training methods used for LBMs, including reinforcement learning and imitation learning, and emphasizes the potential impact of LBMs on industries, particularly in creating autonomous systems that can adapt to human behavior.
Keywords
Large Behavior Models, LBM, AI, Robotics, Human Behavior, Machine Learning, Autonomous Vehicles, Healthcare
Takeaways
- LBMs predict and model human behavior.
- They are distinct from LLMs, which focus on language.
- LBMs utilize video and sensor data for training.
- The goal is to create systems that behave autonomously.
- Training involves reinforcement and imitation learning.
- LBMs have applications in robotics and autonomous vehicles.
- They can enhance healthcare by modeling patient behavior.
- Boston Dynamics and Toyota are collaborating on LBMs.
- Expect more advancements in humanoid robotics.
- Staying curious and consistent is key to navigating AI.
Links
https://lirio.com/blog/the-power-of-large-behavior-models-in-healthcare-consumer-engagement/
https://www.nextbigfuture.com/2024/01/large-behaviorial-models-for-ai-robots.html
https://newatlas.com/ai-humanoids/boston-toyota-ai-robot-lbm-learning/
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