Engineering ❯ Software Engineering ❯ Machine Learning Engineering

Model Optimization

Architecture Design Data Curation Token Pruning Knowledge Distillation End-to-End Training Dynamic Retrieval Systems Scalability Solutions Parameter-Efficient Fine-Tuning Generalization Techniques Framework Development Training Efficiency Hallucination Reduction Techniques Performance Evaluation Training Stability Multimodal Systems Localization Techniques Action Models Test-Time Reinforcement Learning

DeepSeek Publishes mHC to Stabilize Wider Residual Streams in LLMs

The arXiv paper details a Birkhoff‑polytope constraint that kept residual signals stable with modest training overhead.