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Neural Networks Model Training Model Optimization Transformers Convolutional Neural Networks Reinforcement Learning Geoffrey Hinton Low-rank Approximations Convolutional Networks Temporal Reasoning Research Contributions Language Models Pretrained Models Model Distillation Non-Convex Optimization Feature Learning Boltzmann Machines Image Recognition Generative AI Diffusion Models Multi-Layer Neural Networks Knowledge Transfer Image Classification Model Robustness Neural Network Research Model Adaptation Representation Learning Model Training Techniques Vision-Language Models Video Understanding Prompt Tuning Image Dehazing Routing Mechanisms Sparse Learning Feature Extraction Semantic Segmentation Graph Neural Networks Grok 5 Development Model Performance Out-of-Distribution Detection