Today, we’re announcing support for Fundamental’s NEXUS model on Amazon SageMaker AI. With this launch, you can deploy a foundation model (FM) purpose-built for tabular data prediction. This model helps your enterprise generate accurate, deterministic predictions from structured data in days instead of months.
In this post, we show you how to get started with NEXUS on Amazon SageMaker JumpStart, walk through the deployment process, and demonstrate how to run predictions against your enterprise datasets.
What is NEXUS?
NEXUS is a foundation model developed by Fundamental and built for tabular data prediction. Large language models (LLMs) are designed for text, and traditional machine learning (ML) approaches require extensive feature engineering and model training. NEXUS takes a different approach. It’s pre-trained on billions of real-world prediction tasks across structured datasets, so it arrives already knowing how to find signal in your data.
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