Testing VLMs and LLMs for robotics w/ the Jetson Thor devkit
Summary
This video explores the practical application of Large Language Models (LLMs) and Vision-Language Models (VLMs) in robotics using the Jetson Thor devkit. It is highly relevant for students learning about AI and machine learning concepts, offering insights into how these advanced models can be implemented in real-world scenarios, particularly in the growing field of AI-powered robotics.
Description
Exploring the Jetson Thor devkit w/ some local LLMs and VLMs. More info on the Jetson Thor Devkit: https://nvda.ws/45xIU4B Neural Networks from Scratch book: https://nnfs.io Channel membership: https://www.youtube.com/channel/UCfzlCWGWYyIQ0aLC5w48gBQ/join Discord: https://discord.gg/sentdex Reddit: https://www.reddit.com/r/sentdex/ Support the content: https://pythonprogramming.net/support-donate/ Twitter: https://twitter.com/sentdex Instagram: https://instagram.com/sentdex Facebook: https://www.facebook.com/pythonprogramming.net/ Twitch: https://www.twitch.tv/sentdex
More Videos
43:29Training a Unitree G1 to Walk w/ Reinforcement Learning
44:11Unitree G1 Security Disaster
28:40Reinforcement learning with Unitree G1 humanoid - Dev w/ G1 P.5
30:21A bigger brain for the Unitree G1- Dev w/ G1 Humanoid P.4
29:32Unitree G1 - Moving the arms/hands - Dev w/ G1 Humanoid P.3
40:51