Understanding Decoder-Only Transformers Part 2: Decoder-Only vs Regular Transfor

<p>Back in 2017, the first transformer architecture introduced two main components:</p> <ul> <li>an <strong>encoder</strong> </li> <li>a <strong>decoder</strong> </li> </ul>

<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,

<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

<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