Machine Learning Deep Learning Natural Language Processing Computer Vision Model Evaluation Model Optimization Model Training Performance Evaluation Neural Networks Ethics Large Language Models Reinforcement Learning Multi-Agent Systems Applications Evaluation Methods Image Processing Cognitive Computing Benchmarking Evaluation Metrics Optimization Techniques Performance Metrics Robotics Vision-Language Models Research Directions Performance Improvement Heuristic Algorithms Bias Mitigation Real-Time Applications Predictive Modeling Federated Learning Human-Computer Interaction Efficiency Improvement Adversarial Machine Learning Competitive Programming Ethics in AI Dynamic Systems Personalization Attack Methods Post-Training Techniques Peer Review Language Models Information Retrieval Multimodal Models Empirical Evaluation Automated Reasoning Knowledge Representation Data Science AI Performance 3D Modeling Weak Supervision Video Editing Embodied AI Efficiency Digital Initiatives Multimodal Systems Programming Tools Tensor Analysis Computer Graphics Regression Analysis Algorithm Development Evaluation Data Augmentation Generative Modeling Privacy Fault Tolerance Personalized Learning Robustness in AI Generative Models Vision Tasks Model Integrity Performance Optimization Energy Efficiency Model Deployment Memory Technology Edge Intelligence
The authors report up to 450x faster training with accuracy maintained even at D=128.