AI Frontier Lectures
AI Frontier Lectures
Nov 13, 2025 · Artificial Intelligence

Can a 2M‑Parameter Model Outperform XGBoost? Inside LimiX‑2M’s Tabular AI Breakthrough

The article examines LimiX‑2M, a lightweight 2‑million‑parameter transformer‑based model for structured tabular data that, through a novel Radial Basis Function embedding layer, achieves classification and regression performance surpassing traditional gradient‑boosting methods like XGBoost and even larger AI models, while remaining easy to fine‑tune and deploy.

LimiXRBF embeddingStructured Data
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Can a 2M‑Parameter Model Outperform XGBoost? Inside LimiX‑2M’s Tabular AI Breakthrough