Revolutionizing PyTorch Training with Thunder Compiler, AI Tracking Hedgehog Populations, and Advancements in Language Models

Meet Thunder, an open-sourced compiler for PyTorch that optimizes the execution of deep learning models, resulting in significant speed improvements. Discover how AI is being used to track hedgehog populations in the UK, aiding conservation efforts. Learn about the innovative CoTGenius framework and its impact on large language models. Explore how MIT engineers are engineering household robots to have a little common sense, enabling them to adapt and self-correct when faced with disruptions.

Sources:
https://www.marktechpost.com/2024/03/24/meet-thunder-an-open-sourced-compiler-for-pytorch/
https://www.theguardian.com/world/2024/mar/25/ai-hedgehog-populations-pioneering-uk-project
https://www.marktechpost.com/2024/03/24/renmin-universitys-research-introduces-chainlm-a-cutting-edge-large-language-model-empowered-by-the-innovative-cotgenius-framework/
https://news.mit.edu/2024/engineering-household-robots-have-little-common-sense-0325

Outline:
(00:00:00) Introduction
(00:00:44) Meet Thunder: An Open-Sourced Compiler for PyTorch
(00:02:51) AI to track hedgehog populations in pioneering UK project
(00:05:27) Renmin University's Research Introduces ChainLM: A Cutting-Edge Large Language Model Empowered by the Innovative CoTGenius Framework
(00:08:02) Engineering household robots to have a little common sense