st1nger :unverified: 🏴☠️ :linux: :freebsd:<p>What is a Transformer? A visual guide.</p><p><a href="https://infosec.exchange/tags/Transformer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Transformer</span></a> is a <a href="https://infosec.exchange/tags/neural" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neural</span></a> <a href="https://infosec.exchange/tags/network" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>network</span></a> architecture that has fundamentally changed the approach to Artificial Intelligence. Transformer was first introduced in the seminal paper "Attention is All You Need" in 2017 and has since become the go-to architecture for deep learning models, powering text-generative models like <a href="https://infosec.exchange/tags/OpenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenAI</span></a>'s <a href="https://infosec.exchange/tags/GPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GPT</span></a>, <a href="https://infosec.exchange/tags/Meta" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Meta</span></a>'s <a href="https://infosec.exchange/tags/Llama" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Llama</span></a>, and <a href="https://infosec.exchange/tags/Google" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Google</span></a>'s <a href="https://infosec.exchange/tags/Gemini" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Gemini</span></a>. Beyond text, Transformer is also applied in <a href="https://infosec.exchange/tags/audio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>audio</span></a> generation, <a href="https://infosec.exchange/tags/image" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>image</span></a> recognition, <a href="https://infosec.exchange/tags/protein" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>protein</span></a> structure prediction, and even <a href="https://infosec.exchange/tags/game" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>game</span></a> playing, demonstrating its versatility across numerous domains.</p><p><a href="https://poloclub.github.io/transformer-explainer/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">poloclub.github.io/transformer</span><span class="invisible">-explainer/</span></a></p>