Can a tabular foundation model replace your training pipeline? Hands-on TabFM (Google) vs CatBoost vs GPT-6 Astra
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Updated
Sep 13, 2026 - Shell
Can a tabular foundation model replace your training pipeline? Hands-on TabFM (Google) vs CatBoost vs GPT-6 Astra
Benchmarking, optimising and serving the TabFM tabular foundation model online: exact KV cache, torch.compile, FastAPI, Triton, KServe on kind and GKE
A tabular foundation model for corporate credit risk, pretrained only on synthetic data and measured in public, including where it loses.
Fine-tuning TabFM, Google's 1.64B tabular foundation model, on an Apple M4 laptop and on an NVIDIA L4 in GKE: zero-shot vs fine-tuned, laptop vs GPU
Raw, zero-shot TabPFN-3.5 vs a 2013-style engineered LightGBM on Kaggle's Blue Book for Bulldozers. Pre-registered, five falsifiable hypotheses.
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