Transformers in All Glory Details - Lucas Beyer | Munich NLP Hands-on 005 Published 2022-10-13 Download video MP4 360p Download video MP4 720p Recommendations 08:33 The KV Cache: Memory Usage in Transformers 58:04 Attention is all you need (Transformer) - Model explanation (including math), Inference and Training 28:48 LSTM is dead. Long Live Transformers! 18:08 Deriving the Transformer Neural Network from Scratch #SoME3 1:22:38 CS480/680 Lecture 19: Attention and Transformer Networks 08:48 Is Mamba Destroying Transformers For Good? 😱 Language Models in AI 12:18 How chatgpt works 13:37 What are Transformer Models and How do they Work? 1:56:20 Let's build GPT: from scratch, in code, spelled out. 1:15:12 2022.02 Transformers - Lucas Beyers 56:20 Transformers with Lucas Beyer, Google Brain 20:39 AI Language Models & Transformers - Computerphile 1:52:27 NLP Demystified 15: Transformers From Scratch + Pre-training and Transfer Learning With BERT/GPT 1:19:24 Live -Transformers Indepth Architecture Understanding- Attention Is All You Need 21:02 The Attention Mechanism in Large Language Models 09:11 Transformers, explained: Understand the model behind GPT, BERT, and T5 54:52 BERT explained: Training, Inference, BERT vs GPT/LLamA, Fine tuning, [CLS] token 39:24 Intuition Behind Self-Attention Mechanism in Transformer Networks 57:10 Pytorch Transformers from Scratch (Attention is all you need) 1:11:41 Stanford CS25: V2 I Introduction to Transformers w/ Andrej Karpathy Similar videos 55:22 Next Generation of Semantic Search - Nils Reimers | Munich NLP Hands-on 004 1:15:08 Hugging Face: Accelerating Transformers in Production - Lewis Tunstall | Munich NLP Hands-on 002 1:03:56 Lucas Beyer | Learning General Visual Representations 1:15:52 Hands-On Workshop on Training and Using Transformers -- Kickoff Session 1:08:37 Stanford CS25: V1 I Transformers in Vision: Tackling problems in Computer Vision 06:39 How Does Attention Work in Vision Transformers? A Visual Analytics Attempt 1:00:02 Transformers for NLP 1:35:43 NLP for Under-Represented Languages - Sebastian Ruder | Munich NLP Hands-on 009 59:53 Tech Talk with Enrico Bertino - Transformers in NLP: does size matter? 1:06:48 Composing Music With Language Models - Dr. Tristan Behrens | Munich NLP Hands-on 003 1:02:14 Simplifying the MLOps Stack - dstack | Munich NLP Hands-on 006 1:45:10 Tricks and Tools From NLP-Land? - Vincent D. Warmerdam | Munich NLP Hands-on 008 1:13:36 UMass CS685 S22 (Advanced NLP) #7: Transformers (cont'd) and transfer learning 1:16:52 Transformers and ViT (Vision Transformer) for Image Classification | ImageNet & JFT-300M 1:15:56 UMass CS685 S23 (Advanced NLP) #9: Implementing self-attention in Transformer LMs (PyTorch) 11:31:16 Master Transformer Network (BERT) in 18 Hours with PyTorch TensorFlow HuggingFace | PART-1 | NLP 09:59 Mastering Transformers | 2. A Hands-On Introduction to the Subject More results