CAMEx, a novel approach that enhances large language models by acknowledging the curved nature of parameter space during expert merging.

• Addresses limitations of traditional Euclidean geometry assumptions in model training
• Improves generalization ability, especially during pre-training phases
• Optimizes expert merging without requiring additional computation of Fisher Information Matrix
• Delivers better model performance by accounting for the natural curvature of the parameter manifold

This engineering innovation matters because it provides a more mathematically sound approach to model optimization, potentially leading to more efficient training and better performance for large language models in production environments.

CAMEx: Curvature-aware Merging of Experts