SAP announced the availability of the new TabPFN-3.5 model from Prior Labs, an SAP company—marking the next leap in tabular AI.
According to SAP, this model gives organizations access to unmatched tabular AI predictions on structured business data without model training or tuning. For SAP customers, TabPFN-3.5 Plus is now available in SAP AI Core.
With TabPFN-3.5, SAP customers can work with data as it exists in their systems. Missing values, mixed data types and inconsistent fields are handled by the model, returningaccuratepredictions without preprocessing.
Thisnewest model from Prior Labs’ family of tabular AI modelsuses in-context learning to make predictions from raw tabular data, handling columns with thousands of distinct values, such as product codes or customer identifiers, and mixed data types natively, without the trial-and-error configuration that traditional models require, said SAP.
TabPFN-3.5 Plusis the mostaccurateand scalable tabular foundation model available today, basedonTabArenaandBeyondArena, twoexternalbenchmarks designed to evaluate predictions over real-world data, said SAP.
“Real-world data is rarely perfect.Datasets oftencontaincomplex relationships and varying conditions that make traditional machine learning difficult. TabPFN-3.5 isspecificallybuilt for these challenges, providing industry-leading accuracy and scalability for tabular data with less manual effort—making it themost effectivetabular AI model in the industryto date,”said Philipp Herzig, chief technology officer, SAPSE.“With TabPFN-3.5and the SAP-RPT model family, customers getaccuratepredictions from labeled business data in minutes, with no trainingrequired.For us,tabular AI is not a supporting feature of the Autonomous Enterprise, it is the foundation.”
For more information about this news, visit www.sap.com.