Public evidence record

Tianqi Chen

Published podcast speaker

Claims: 9
Episodes: 1
Shows: 1
Named items: 0

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What Tianqi said.

2 transcript-backed records

01 / evaluation

10 Aug 2023

I don't remember specifics of them, but I think even nowadays, if you look at what people are using, tree-based models are still one of their toolkits.

“I don't remember specifics of them, but I think even nowadays, if you look at what people are using, tree-based models are still one of their toolkits.”

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

02 / evaluation

10 Aug 2023

Actually, on a single batch inference, more recently on CUDA, we get, I think, the most best performance you can get out there already on the 4-bit inference.

“Actually, on a single batch inference, more recently on CUDA, we get, I think, the most best performance you can get out there already on the 4-bit inference.”

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

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