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NVIDIA releases Structured Data Models library for zero-training tabular predictions

By PulseAugur Editorial · [1 sources] ·

NVIDIA has released a new library called Structured Data Models (SDM) that provides a unified PyTorch interface for several pre-trained foundation models designed for tabular data. This library enables users to make predictions without requiring model training, utilizing in-context learning. SDM integrates models like TabICLv2 and KumoTabular for single tables, and KumoRelational for relational databases, offering capabilities such as probability predictions and calibrated prediction intervals. AI

IMPACT Simplifies and accelerates the application of advanced AI models to tabular datasets for prediction tasks.

RANK_REASON The item describes a new library/tool from a major tech company, not a frontier model release or significant research paper.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

NVIDIA releases Structured Data Models library for zero-training tabular predictions

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41 / 100
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The item describes a new library/tool from a major tech company, not a frontier model release or significant research paper.
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High
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COVERAGE [1]

  1. MarkTechPost TIER_1 English(EN) · Sana Hassan ·

    How to Make Zero-Training Tabular Predictions with NVIDIA Structured Data Models

    <p>In this tutorial, we implement Structured Data Models, NVIDIA&#8217;s new library that puts several pretrained foundation models for tables behind one PyTorch interface, and use it to make predictions without training. The library wraps TabICLv2 and KumoTabular for single tabl…

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