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 Importance of Loop Transformation in ML Compilation

For LAMT model, it's much harder to build dynamic ship. So you need to be able to what we call symbolic ship chasing. We also make the ML compilation framework as a Python package. MLC is working on this item called bring your own quantization. And definitely, I think there's the open field of can you bring more sparsity?

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