Evidence receipt / evaluation
Published · transcript-backedTianqi Chen: evaluation
10 Aug 2023 Latent Space LLMs Everywhere: Running 70B models in browsers and iPhones using MLC — with Tianqi Chen of CMU / OctoML
“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.”
Source trail
Everything needed to verify it.
- Speaker
- Tianqi Chen
- Attribution
- Verified speaker
- Claim type
- evaluation
- Recorded
- 10 Aug 2023
- Publisher
- Latent Space
Transcript context
…Are there any current projects that you would call out as promising in terms of merging the two directions? I think there are projects that try to bring a transformer-type model for tabular data. 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. So I think maybe eventually it's not even a replacement, it will be just an ensemble of models that you can call. Perfect. Next up, about three years after XGBoost, you built this thing called TVM, which is now a very popular compiler framework for models. Let's talk about, so this came out about at the same time as ONNX. So I think it would be great if you could maybe give a little bit of an overview of how the two things work together. Because it's kind of like the model, then goes to ONNX, then goes to the TVM. But I think a lot of people don't understand the nuances. I can get a bit of a backstory on that.…
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