Attention is all you need (Transformer) - Model explanation (including math), Inference and Training Published 2023-05-28 Download video MP4 360p Recommendations 26:10 Attention in transformers, visually explained | Chapter 6, Deep Learning 36:16 The math behind Attention: Keys, Queries, and Values matrices 3:04:11 Coding LLaMA 2 from scratch in PyTorch - KV Cache, Grouped Query Attention, Rotary PE, RMSNorm 36:15 Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!! 18:21 Query, Key and Value Matrix for Attention Mechanisms in Large Language Models 2:59:24 Coding a Transformer from scratch on PyTorch, with full explanation, training and inference. 49:53 How a Transformer works at inference vs training time 39:24 Intuition Behind Self-Attention Mechanism in Transformer Networks 40:08 The Most Important Algorithm in Machine Learning 49:24 Retrieval Augmented Generation (RAG) Explained: Embedding, Sentence BERT, Vector Database (HNSW) 54:52 BERT explained: Training, Inference, BERT vs GPT/LLamA, Fine tuning, [CLS] token 57:24 Terence Tao at IMO 2024: AI and Mathematics 13:05 Transformer Neural Networks - EXPLAINED! (Attention is all you need) 20:18 Why Does Diffusion Work Better than Auto-Regression? 13:11 ML Was Hard Until I Learned These 5 Secrets! 1:56:20 Let's build GPT: from scratch, in code, spelled out. 1:22:38 CS480/680 Lecture 19: Attention and Transformer Networks 36:44 Attention Is All You Need - Paper Explained 1:19:24 Live -Transformers Indepth Architecture Understanding- Attention Is All You Need Similar videos 09:11 Transformers, explained: Understand the model behind GPT, BERT, and T5 05:34 Attention mechanism: Overview 05:50 What are Transformers (Machine Learning Model)? 59:56 Next-gen reasoning with OpenAI's o1 (& much more) | Trends in AI - September 2024 1:11:41 Stanford CS25: V2 I Introduction to Transformers w/ Andrej Karpathy 08:38 Transformers: The best idea in AI | Andrej Karpathy and Lex Fridman 36:45 Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!! 04:30 Attention Mechanism In a nutshell 15:51 Attention for Neural Networks, Clearly Explained!!! 1:17:04 Stanford CS224N NLP with Deep Learning | 2023 | Lecture 8 - Self-Attention and Transformers More results