3min chapter

Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0 cover image

LLMs Everywhere: Running 70B models in browsers and iPhones using MLC — with Tianqi Chen of CMU / OctoML

Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0

CHAPTER

The Future of Machine Learning Compilation

I think we are the early, very early initiator of machine learning compilation. And now it's starting to get more attractions, like if you say, PyTorch compile and other things. I had really fun hacking CUDA code. Now after being able to get into CUDA code, okay, by the way, you can do it on other platforms. Isn't that amazing? So it's more of that attitude to get me started on this. You kind of need to solve it from both Aggresson data and systems angle. It also means building system optimizations, writing low level code.

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