AI and Data Science

Machine Learning (AI and Data Science) Structured Pruning is an advanced optimization technique for artificial intelligence models that removes entire […]

Machine Learning (AI and Data Science) Model Pruning is an AI optimization technique that reduces the size of a neural

Machine Learning (AI and Data Science) Gradient Checkpointing is a powerful optimization technique in deep learning that drastically reduces the

Machine Learning (AI and Data Science) Mixed Precision Training is a specialized machine learning technique that accelerates model training and

Machine Learning (AI and Data Science) Post-Training Quantization (PTQ) is a critical optimization technique used to reduce the memory footprint

Machine Learning (AI and Data Science) Quantization Aware Training (QAT) is a specialized machine learning technique that simulates the effects

Machine Learning (AI and Data Science) The Teacher-Student model, often referred to as Knowledge Distillation in the field of artificial

Machine Learning (AI and Data Science) Knowledge Distillation is an advanced machine learning technique where a small, efficient model, known

Machine Learning (AI and Data Science) Adapter Layers are modular, lightweight components integrated into pre-trained artificial intelligence models that allow

Machine Learning (AI and Data Science) LoRA, or Low-Rank Adaptation, is a highly efficient machine learning technique that allows developers