MIT HAN Lab Courses

EfficientML.AI - Introduction to Efficient Machine Learning

Master efficient machine learning techniques and optimization strategies for deploying ML models in resource-constrained environments, focusing on practical implementation methods.

• YouTube
• 1 hour 36 minutes
• Self-Paced
• Free Video

LLM Deployment Techniques - Lecture 13

Dive into advanced LLM deployment strategies, covering optimization techniques, infrastructure scaling, and practical implementation methods for efficient large language model deployment in production environments.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

LLM Deployment Techniques - Lecture 13

Dive into advanced LLM deployment strategies, covering optimization techniques, infrastructure scaling, and practical implementation methods for efficient large language model deployment.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

TinyEngine: Transformer and LLM - Lecture 12

Dive into Transformer and LLM architectures, exploring their efficiency and applications in machine learning, guided by Prof. Song Han's expertise.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

TinyEngine: Transformer and Large Language Models - Lecture 12

Dive into Transformer and LLM architectures, exploring their applications and optimizations for efficient machine learning on resource-constrained devices.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

EfficientML.ai Lecture - Introduction to Efficient Machine Learning

Explore cutting-edge techniques for optimizing machine learning models, focusing on efficiency and performance in AI applications.

• YouTube
• 1 hour 31 minutes
• Self-Paced
• Free Video

Knowledge Distillation in Efficient Machine Learning - Lecture 9

Explore knowledge distillation techniques for efficient machine learning, covering theory, applications, and practical implementation strategies.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Knowledge Distillation in Efficient Machine Learning - Lecture 9

Explore knowledge distillation techniques for efficient machine learning, covering theory, applications, and practical implementation strategies.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Neural Architecture Search Part II - Lecture 8

Explore advanced neural architecture search techniques, including evolutionary algorithms and reinforcement learning for optimizing deep learning models.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Neural Architecture Search Part II - Lecture 8

Explore advanced neural architecture search techniques, including evolutionary algorithms and reinforcement learning, to optimize deep learning models for efficiency and performance.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Neural Architecture Search Part I - Lecture 7

Explore neural architecture search techniques for optimizing deep learning models, focusing on automated design and efficiency in AI systems.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

EfficientML.ai: Quantization Part II - Lecture 6

Explore advanced quantization techniques for efficient machine learning, covering post-training and quantization-aware training methods to optimize model performance.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Neural Architecture Search Part I - Lecture 7

Explore neural architecture search techniques for optimizing deep learning models, covering fundamental concepts and cutting-edge approaches in AI efficiency.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

EfficientML.ai - Quantization Part II - Lecture 6

Explore advanced quantization techniques for efficient machine learning, including post-training and quantization-aware training methods.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

EfficientML.ai - Quantization Part I - Lecture 5

Explore quantization techniques for efficient machine learning, covering fundamental concepts and practical applications in neural network optimization.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video