AutoML is dead an LLMs have killed it? MLGym is a benchmark and framework testing this theory. Roberta Raileanu and Deepak Nathani discuss how well current LLMs are doing at solving ML tasks, what the biggest roadblocks are, and what that means for AutoML generally. Check out the paper: https://arxiv.org/pdf/2502.14499 More on Roberta: https://rraileanu.github.io/ More on Deepak: https://dnathani.net/
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AutoML is dead an LLMs have killed it? MLGym is a benchmark and framework testing this theory. Roberta Raileanu and Deepak Nathani discuss how well current LLMs are doing at solving ML tasks, what the biggest roadblocks are, and what that means for AutoML generally. Check out the paper: https://arxiv.org/pdf/2502.14499 More on Roberta: https://rraileanu.github.io/ More on Deepak: https://dnathani.net/
BERT-Sort: How to use language models to semantically order categorical values
The AutoML Podcast
40 minutes
2 years ago
BERT-Sort: How to use language models to semantically order categorical values
Today Ankush Garg is talking to Mehdi Bahrami about his recent project: BERT-Sort. BERT-Sort is an example of how large language models can add useful context to tabular datasets, and to AutoML systems. Mehdi is a Member of Research Staff at Fujitsu and, as he describes, he began using AutoML systems for his research, yet he came across some crucial limitations of existing solutions. The modifications he made highlight a promising future for the relationship between language models and Auto...
The AutoML Podcast
AutoML is dead an LLMs have killed it? MLGym is a benchmark and framework testing this theory. Roberta Raileanu and Deepak Nathani discuss how well current LLMs are doing at solving ML tasks, what the biggest roadblocks are, and what that means for AutoML generally. Check out the paper: https://arxiv.org/pdf/2502.14499 More on Roberta: https://rraileanu.github.io/ More on Deepak: https://dnathani.net/
