Michael Zhou
@michaelhzhou
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Studying CS, ML @SCSatCMU. AI Research @CMU_Robotics
Joined October 2023
LLMs are capable of high-level planning, but they require pre-trained skills! Our #ICLR2024 paper instead uses LLM guidance to train RL agents from scratch to solve 25+ long-horizon robotics tasks across four benchmarks w/ >85% success rates Paper & code: https://t.co/WAP8eNzkzN
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# on shortification of "learning" There are a lot of videos on YouTube/TikTok etc. that give the appearance of education, but if you look closely they are really just entertainment. This is very convenient for everyone involved : the people watching enjoy thinking they are
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Introducing AlphaGeometry: an AI system that solves Olympiad geometry problems at a level approaching a human gold-medalist. 📐 It was trained solely on synthetic data and marks a breakthrough for AI in mathematical reasoning. 🧵 https://t.co/g3RFSoWNPP
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If you found this interesting/want to dig deeper, @vasumvikram, @michaelhzhou and I built a lecture+project for a SWE class at @SCSatCMU. [Lecture] A software engineer's guide to LLM's- https://t.co/ughgeOmv31 [Project] Answer our syllabus q's with an LLM- https://t.co/VBDUPXSpmI
colab.research.google.com
Colaboratory notebook
I compiled a ~5 min read of @andrewyng and @isafulf's 2.5 hour "Application Development using Large Language Models" talk at NeurIPS! It was super cool to attend with @metaphorsystems and I managed to get a spot by showing up very very early! 😛 Some things it covers: > LLM
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I've been asked what's the biggest thing in 2024 other than LLMs. It's Robotics. Period. We are ~3 years away from the ChatGPT moment for physical AI agents. We've been cursed by the Moravec's paradox for too long, which is the counter-intuitive phenomenon that "tasks that humans
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