Encoder-Only Transformers: Understanding BERT and RAG Architecture
StatQuest with Josh Starmer via YouTube
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Overview
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Learn how Encoder-Only Transformers power RAG systems, sentiment analysis, classification, and clustering in this 19-minute educational video. Dive into the core components and functionality of these machine learning powerhouses, starting with word embedding techniques and their role in natural language processing. Progress through clear explanations of positional encoding and attention mechanisms, culminating in practical applications of Encoder-Only Transformers. Master fundamental concepts with supplementary links to related topics like matrix math, PyTorch implementation, and logistic regression, ensuring a comprehensive understanding of this essential AI technology.
Syllabus
Awesome song and introduction
Word Embedding
Positional Encoding
Attention
Applications of Encoder-Only Transformers
Taught by
StatQuest with Josh Starmer