Foundation Models

A foundation model is a large-scale AI model trained on massive datasets that can then be adapted to a wide range of tasks, from text to code to images. The term covers models like GPT, Gemini, and Llama, which serve as the base for countless downstream AI tools and applications. This hub gathers news and explainers on foundation model architecture, training, and use.

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A nested-circle diagram showing deep learning inside machine learning inside artificial intelligence — the layered categories that foundation models sit within.

What Is a Foundation Model — and How Is It Different From an LLM?

26 July 2026

A foundation model is a large AI system trained on broad data that can be adapted to many tasks — the base layer under chatbots, image generators, and coding tools alike.

A simple diagram of a machine learning workflow showing data import, processing, modeling, and evaluation steps

What Is a Tabular Foundation Model — and Why Does It Matter?

21 July 2026

Tabular foundation models are a new class of AI that predicts outcomes from spreadsheets and databases directly — no retraining needed for every new dataset.