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Google Research introduces TabFM, a hybrid-attention foundation model for tabular data that enables zero-shot classification and regression through in-context learning.
H2O.ai launches tabH2O, a foundation model that makes predictions from tabular data without any training. The tool promises to eliminate the need for extensive model preparation, enabling instant predictive analytics via a single API call.
Learn how to implement and compare traditional tabular models with in-context learning approaches, demonstrating superior accuracy on classification tasks.
