2min 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 AI in ML

I think it's unclear in the future of what the future of AI looks like. One thing that we are really pushing hard for is this question about how can how far can we bring open source? I'm kind of like a hacker and I really like to put things together. Do you have any idea or are you looking out for anything post transformers as far as architecture is concerned?

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