DeepSeek Tackles LLM Instability with Novel Hyperconnection Normalization
Analysis
Key Takeaways
- •DeepSeek is addressing instability issues in large language model training.
- •Hyperconnections, while beneficial, can lead to training instability at scale.
- •A 1967 matrix normalization algorithm is being applied to mitigate this instability.
“The new method mHC, Manifold Constrained Hyper Connections, keeps the richer topology of hyper connections but locks the mixing behavior on […]”