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chief167 t1_j9kt5ho wrote

Reply to comment by Featureless_Bug in [D] "Deep learning is the only thing that currently works at scale" by GraciousReformer

We use gradient boosting at quite a big scale. Not LLM big, but still big. It's just not NLP or CV at all. It's for fraud detection in large transactional tabular datasets. And it outperforms basically all neural network, shallow or deep, approaches.

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Featureless_Bug t1_j9kuu22 wrote

Large scale is somewhere to the north of 1-2 TB of data. Even if you had that much data, in absolutely most cases tabular data has such a simplistic structure that you wouldn't need that much data to achieve the same performance - so I wouldn't call any kind of tabular data large scale to be frank

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