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Understanding Encoder-Only Transformers: The Foundation of BERT and RAG Retrieva

BACKGROUND
1 SIGNALFIRST DETECTED 7 May 2026
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6 May
Understanding Decoder-Only Transformers Part 2: Decoder-Only vs Regular Transformers

<p>In this article, we will look at the differences between a <strong>decoder-only transformer</strong> and a <strong>standard (encoder–decoder) transformer</strong>.</p> <h2> How

REPORT · HOW · Dev.toOPEN STORY
26 Mar
Understanding Attention Mechanisms – Part 1: Why Long Sentences Break Encoder–Decoders

<p>In the <a href="https://dev.to/rijultp/understanding-seq2seq-neural-networks-part-8-when-does-the-decoder-stop-4jdi">previous articles</a>, we understood Seq2Seq models. Now,

REPORT · WHEN · Dev.toOPEN STORY
11 Apr
Understanding Transformers Part 5: Queries, Keys, and Similarity

<p>In the <a href="https://dev.to/rijultp/understanding-transformers-part-4-introduction-to-self-attention-45bg">previous article</a>, we explored the self-attention concept for

REPORT · HOW · Dev.toOPEN STORY
29 Apr
Understanding Transformers – Part 16: Preparing for Output Prediction with Residual Connections

<p>In the <a href="https://dev.to/rijultp/understanding-transformers-part-15-scaling-and-combining-values-in-encoder-decoder-attention-4dfm">previous article</a>, we handled

REPORT · WHAT · Dev.toOPEN STORY
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