filmov
tv
StreamingLLM Lecture
Показать описание
MIT HAN Lab
Рекомендации по теме
0:13:37
StreamingLLM Lecture
0:03:54
StreamingLLM - Extend Llama2 to 4 million token & 22x faster inference?
0:00:20
StreamingLLM Demo
0:32:27
Efficient Streaming Language Models with Attention Sinks (Paper Explained)
0:24:43
Run LLM's for infinite length! Research Paper Explained - StreamingLLM
0:24:04
Efficient Streaming Language Models with Attention Sinks
0:23:49
Lost in the Middle: How Language Models use Long Context - Explained!
0:19:49
Why Do LLM’s Have Context Limits? How Can We Increase the Context? ALiBi and Landmark Attention!
0:05:44
LLM Module 0 - Introduction | 0.5 Tokenization
1:17:03
EfficientML.ai Lecture 13 - Transformer and LLM (Part II) (MIT 6.5940, Fall 2023)
0:32:37
Dr. James Hensman | A Probabilistic View of the LLM Residual Stream
0:30:25
Exploring the Latency/Throughput & Cost Space for LLM Inference // Timothée Lacroix // CTO Mist...
0:09:10
“LLAMA2 supercharged with vision & hearing?!” | Multimodal 101 tutorial
0:12:46
Speculative Decoding: When Two LLMs are Faster than One
0:15:46
Meta AI LM-Infinite - Massive LLM improvement!
0:53:35
Yuandong Tian | Efficient Inference of LLMs with Long Context Support
0:09:58
SmoothQuant
0:36:25
Direct Preference Optimization (DPO): Your Language Model is Secretly a Reward Model Explained
1:17:03
EfficientML.ai Lecture 13 - Transformer and LLM (Part II) (MIT 6.5940, Fall 2023, Zoom)
0:04:07
LLM Apps: What is the Context Window?
0:29:17
Extending Context Window of Large Language Models via Positional Interpolation Explained
0:05:41
Deploying Llama3 on Amazon SageMaker
0:00:58
Addressing Latency Challenges in Large Language Models
0:46:24
Making LLMs Multi-Modal without Fine-Tuning