What BERT Can’t Do: The Transformer's Decoder [Lecture] Published -- Download video MP4 360p Recommendations 08:22 Why Translation is (Really) Hard for Both Computers and Humans [Lecture] 54:52 BERT explained: Training, Inference, BERT vs GPT/LLamA, Fine tuning, [CLS] token 36:45 Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!! 07:49 GPT or BERT? Reviewing the tradeoffs of using Large Language Models versus smaller models 49:53 How a Transformer works at inference vs training time 1:02:17 RWKV: Reinventing RNNs for the Transformer Era (Paper Explained) 24:07 AI can't cross this line and we don't know why. 07:38 Which transformer architecture is best? Encoder-only vs Encoder-decoder vs Decoder-only models 36:16 The math behind Attention: Keys, Queries, and Values matrices 28:26 Retentive Network: A Successor to Transformer for Large Language Models (Paper Explained) 1:56:20 Let's build GPT: from scratch, in code, spelled out. 58:04 Attention is all you need (Transformer) - Model explanation (including math), Inference and Training 11:37 BERT Neural Network - EXPLAINED! 1:02:50 MIT 6.S191 (2023): Recurrent Neural Networks, Transformers, and Attention 1:07:12 Gail Weiss: Thinking Like Transformers 36:15 Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!! 15:30 Confused which Transformer Architecture to use? BERT, GPT-3, T5, Chat GPT? Encoder Decoder Explained Similar videos 09:11 Transformers, explained: Understand the model behind GPT, BERT, and T5 11:22 How decoder works in Transformers in NLP? 06:47 Transformer models: Encoder-Decoders 1:02:25 Deep Learning for NLP Lecture 09 - Transformers and BERT 05:50 What are Transformers (Machine Learning Model)? 04:27 Transformer models: Decoders 15:01 Illustrated Guide to Transformers Neural Network: A step by step explanation 17:51 Sentence Transformers - EXPLAINED! 18:31 L19.5.2.3 BERT: Bidirectional Encoder Representations from Transformers 1:11:41 Stanford CS25: V2 I Introduction to Transformers w/ Andrej Karpathy 10:53 NLP Lecture 6(c) - Transformers More results