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

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https://statquest.org/video-index/

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