Neural Networks / Deep Learning - Encoder-Only Transformers (like BERT) for RAG, Clearly Explained!!!

Encoder-Only Transformers are the backbone for RAG (retrieval augmented generation), sentiment analysis and classification problems, and clustering. This StatQuest covers the main ideas of how these powerhouses do what they do so well, making sure each step is clearly explained! NOTE: If you'd like to learn more details about the various components mentioned in the video, check out these 'Quests: Transformers: https://youtu.be/zxQyTK8quyY Decoder-Only Transformers: https://youtu.be/bQ5BoolX9Ag The Matrix Math Behind Transformers: https://youtu.be/KphmOJnLAdI Coding a Decoder-Only Transformer from Scratch in PyTorch: https://youtu.be/C9QSpl5nmrY Word Embedding: https://youtu.be/viZrOnJclY0 Logistic Regression: https://youtu.be/yIYKR4sgzI8 For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider... Patreon: https://www.patreon.com/statquest ...or... YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join ...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store... https://statquest.org/statquest-store/ ...or just donating to StatQuest! https://www.paypal.me/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: https://twitter.com/joshuastarmer 0:00 Awesome song and introduction 3:30 Word Embedding 11:15 Positional Encoding 12:39 Attention 15:17 Applications of Encoder-Only Transformers 16:19 RAG (Retrieval-Augmented Generation) #StatQuest #transformers