MIT HAN Lab Courses

EfficientML.ai - Efficient Deep Learning Computing Techniques - MIT 6.5940 Fall 2023

Master efficient deep learning techniques to deploy large models on resource-constrained devices, covering pruning, quantization, neural architecture search, and hands-on LLaMA 2 deployment.

• YouTube
• 2 days 6 hours 2 minutes
• Self-Paced
• Free Video

LLM Post-Training - Lecture 14

Dive into advanced LLM post-training techniques and methodologies with Prof. Song Han, exploring efficient machine learning strategies for optimizing large language models.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

LLM Post-Training Techniques - Lecture 14

Dive into advanced LLM post-training techniques and deployment strategies, exploring optimization methods and practical implementation approaches for efficient language model deployment.

• YouTube
• 1 hour 19 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 real-world applications.

• YouTube
• 1 hour 34 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

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

Pruning and Sparsity in Machine Learning - Part II - Lecture 4

Explore advanced pruning techniques and sparsity concepts for efficient machine learning, focusing on practical applications and cutting-edge research.

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