Sparse LLMs at inference: 6x faster transformers! | DEJAVU paper explained Published 2024-02-03 Download video MP4 360p Recommendations 19:48 Transformers explained | The architecture behind LLMs 11:38 Transformer models and BERT model: Overview 18:08 Transformer Neural Networks Derived from Scratch 08:22 What is LoRA? Low-Rank Adaptation for finetuning LLMs EXPLAINED 24:07 Transformers, explained: Understand the model behind ChatGPT 27:14 But what is a GPT? Visual intro to Transformers | Chapter 5, Deep Learning 08:55 Direct Preference Optimization: Your Language Model is Secretly a Reward Model | DPO paper explained 22:08 Biomedical Scientist Answers Pseudoscience Questions From Twitter | Tech Support | WIRED 37:01 TransformerFAM: Feedback attention is working memory 17:07 LoRA explained (and a bit about precision and quantization) 11:10 Swin Transformer paper animated and explained 56:16 Flow Matching for Generative Modeling (Paper Explained) 10:42 Low-Rank Adaptation - LoRA explained 20:38 The Real Reason Sea Levels Are Rising (And It's Not Predominantly Ice Melting) 16:01 Mamba - a replacement for Transformers? 14:38 Myths that Everyone Just Seems to Believe Similar videos 1:21:47 Sparsity for Efficient Long Sequence Generation of LLMs 53:35 Yuandong Tian | Efficient Inference of LLMs with Long Context Support 50:27 How Well Do Sparse Models Transfer? 1:10:59 [Tensor Learning Team Seminar] Talk by Dr. Yuandong Tian, Meta AI Research (FAIR) More results