18:57

MLSys'24 Best Paper - AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

05:00

DistriFusion: Distributed Parallel Inferencefor High-Resolution Diffusion Models

05:01

Condition-Aware Neural Network for Controlled Image Generation

00:26

GazeSAM Demo: Combining EfficientViT-SAM with Gaze Estimation

57:42

Hanrui Wang's PhD Defense, Toward Practical Quantum Computing Systems @ MIT

00:13

TinyML Demo on Microcontrollers (short)

00:51

TinyChat Computer running Llama2-7B Jetson Orin Nano. Key technique: AWQ 4bit quantization.

01:48

[Demo] On-Device Training Under 256KB Memory

56:18

Ji Lin's PhD Defense, Efficient Deep Learning Computing: From TinyML to Large Language Model. @MIT

01:14:49

EfficientML.ai Lecture 23: Noise Robust Quantum ML (MIT 6.5940, Fall 2023, Zoom)

01:14:37

EfficientML.ai Lecture 23: Noise Robust Quantum ML (MIT 6.5940, Fall 2023)

01:12:51

EfficientML.ai Lecture 22: Quantum Machine Learning (MIT 6.5940, Fall 2023, Zoom)

01:12:58

EfficientML.ai Lecture 22: Quantum Machine Learning (MIT 6.5940, Fall 2023)

01:16:12

EfficientML.ai Lecture 21: Basics of Quantum Computing (MIT 6.5940, Fall 2023)

01:16:26

EfficientML.ai Lecture 21: Basics of Quantum Computing (MIT 6.5940, Fall 2023, Zoom)

01:17:33

EfficientML.ai Lecture 20: Efficient Fine-tuning and Prompt Engineering (MIT 6.5940, Fall 2023)

01:17:23

EfficientML.ai Lecture 20: Efficient Fine-tuning and Prompt Engineering (MIT 6.5940,Fall 2023,Zoom)

01:16:46

EfficientML.ai Lecture 19: On-Device Training and Transfer Learning (MIT 6.5940, Fall 2023)

01:16:48

EfficientML.ai Lecture 19: On-Device Training and Transfer Learning (MIT 6.5940, Fall 2023, Zoom)

22:22

MICRO'23 PockEngine: Sparse and Efficient Fine-tuning in a Pocket

54:30

EfficientML.ai Lecture 18: Distributed Training (Part II) (MIT 6.5940, Fall 2023, Zoom)

54:35

EfficientML.ai Lecture 18: Distributed Training (Part II) (MIT 6.5940, Fall 2023)

01:00:45

EfficientML.ai Lecture 17: Distributed Training (Part I) (MIT 6.5940, Fall 2023, Zoom)

01:00:52

EfficientML.ai Lecture 17: Distributed Training (Part I) (MIT 6.5940, Fall 2023)

01:16:27

EfficientML.ai Lecture 16 - Diffusion Model (MIT 6.5940, Fall 2023, Zoom)

01:16:26

EfficientML.ai Lecture 16 - Diffusion Model (MIT 6.5940, Fall 2023)

01:08:13

EfficientML.ai Lecture 15 - GAN, Video, and Point Cloud (MIT 6.5940, Fall 2023, Zoom)

01:08:10

EfficientML.ai Lecture 15 - GAN, Video, and Point Cloud (MIT 6.5940, Fall 2023)

15:21

MICRO'23 TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs

01:14:19

EfficientML.ai Lecture 14 - Vision Transformer (MIT 6.5940, Fall 2023)

01:14:19

EfficientML.ai Lecture 14 - Vision Transformer (MIT 6.5940, Fall 2023, Zoom)

20:40

AWQ for LLM Quantization

09:58

SmoothQuant

13:37

StreamingLLM Lecture

01:17:03

EfficientML.ai Lecture 13 - Transformer and LLM (Part II) (MIT 6.5940, Fall 2023, Zoom)

01:17:03

EfficientML.ai Lecture 13 - Transformer and LLM (Part II) (MIT 6.5940, Fall 2023)

00:43

TinyChatEngine Coding Demo on Apple MacBook Pro (M1, 2021)

00:37

TinyChatEngine running Llama2-7B on MacBook Pro (M1, 2021)

00:23

TinyChatEngine Coding Demo on Nvidia GeForce RTX 4070 Laptop

00:25

TinyChatEngine Chat Demo on Nvidia GeForce RTX 4070 Laptop

01:17:49

EfficientML.ai Lecture 12 - Transformer and LLM (Part I) (MIT 6.5940, Fall 2023)

01:19:54

EfficientML.ai Lecture 12 - Transformer and LLM (Part I) (MIT 6.5940, Fall 2023, Zoom)

01:16:00

EfficientML.ai Lecture 11 - TinyEngine and Parallel Processing (MIT 6.5940, Fall 2023, Zoom)

01:16:05

EfficientML.ai Lecture 11 - TinyEngine and Parallel Processing (MIT 6.5940, Fall 2023)

01:00:46

EfficientML.ai Lecture 10 - MCUNet: TinyML on Microcontrollers (MIT 6.5940, Fall 2023)

01:00:49

EfficientML.ai Lecture 10 - MCUNet: TinyML on Microcontrollers (MIT 6.5940, Fall 2023, Zoom)

00:20

StreamingLLM Demo

01:00:11

EfficientML.ai Lecture 9 - Knowledge Distillation (MIT 6.5940, Fall 2023)

01:00:11

EfficientML.ai Lecture 9 - Knowledge Distillation (MIT 6.5940, Fall 2023, Zoom)

01:14:47

EfficientML.ai Lecture 8 - Neural Architecture Search (Part II) (MIT 6.5940, Fall 2023)

01:14:50

EfficientML.ai Lecture 8 - Neural Architecture Search (Part II) (MIT 6.5940, Fall 2023, Zoom)

01:14:17

EfficientML.ai Lecture 7 - Neural Architecture Search (Part I) (MIT 6.5940, Fall 2023)

01:14:25

EfficientML.ai Lecture 7 - Neural Architecture Search (Part I) (MIT 6.5940, Fall 2023, Zoom)

01:10:33

EfficientML.ai Lecture 6 - Quantization (Part II) (MIT 6.5940, Fall 2023, Zoom recording)

01:17:42

EfficientML.ai Lecture 4 - Pruning and Sparsity (Part II) (MIT 6.5940, Fall 2023, Zoom recording)

01:12:15

EfficientML.ai Lecture 2 - Basics of Neural Networks (MIT 6.5940, Fall 2023, Zoom recording)

01:14:40

EfficientML.ai Lecture 6 - Quantization (Part II) (MIT 6.5940, Fall 2023)

01:15:24

EfficientML.ai Lecture 5 - Quantization (Part I) (MIT 6.5940, Fall 2023)

01:15:26

EfficientML.ai Lecture 5 - Quantization (Part I) (MIT 6.5940, Fall 2023, Zoom recording)

01:25:31

EfficientML.ai lecture