Deep Learning Cost Efficiency Distillation Prompt Engineering Model Collapse Knowledge Distillation Open Source DeepSeek Performance Evaluation Open Source AI User Interaction Dataset Creation Supervised Fine-Tuning Fine-Tuning Techniques Post-Training Techniques Data Processing Techniques Parameter Count Pretraining Datasets Customization Optimization Techniques Vision Tasks Behavior Tuning Performance Benchmarking ByteDance Sabotage Prompt Adherence Product Integration GPU Clusters Reinforcement Learning AWS SageMaker Prompt Improvement Data Curation Ethics in AI Inference Imagen 3 Custom Chips Real-World Interaction Data Processing AI Performance CUA Model NVIDIA Foundation Models Intellectual Property Data Ownership Censorship Distillation Method AI Models Emergent Misalignment GPT-4.5 Fine-tuning Hardware Utilization Fine-Tuning Large Language Models Parameter Size GPU Utilization Data Quality Apple Foundation Model Apple Foundation Models TPU Chips Data Augmentation Techniques Specialized Pre-training