56:35

Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences Explained

26:10

Attention in transformers, visually explained | DL6

40:13

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

11:10

Swin Transformer paper animated and explained

1:00:00

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting Explained

27:14

Transformers (how LLMs work) explained visually | DL5

30:49

Vision Transformer Basics

1:01:31

MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention