Understanding Encoder-Only Transformers: The Foundation of BERT and RAG Retrieval
SMRTR summary
Encoder-only transformers, like BERT, process text by converting words into context-aware embeddings that capture meaning, position, and word relationships. These embeddings power Retrieval-Augmented Generation (RAG) systems and classification tasks like sentiment analysis, making them essential for modern AI applications beyond simple text generation.
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