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#transformermodels

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Valuecoders<p>Explore the fundamental differences between transformer models and traditional neural networks, highlighting architecture, functionality, and performance in AI.<br>More info: <a href="https://www.portotheme.com/what-are-the-key-differences-between-transformer-models-and-traditional-neural-networks/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">portotheme.com/what-are-the-ke</span><span class="invisible">y-differences-between-transformer-models-and-traditional-neural-networks/</span></a><br><a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/transformermodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>transformermodels</span></a> <a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://mastodon.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificialintelligence</span></a> <a href="https://mastodon.social/tags/TechSolutions" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechSolutions</span></a> <a href="https://mastodon.social/tags/AIModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIModels</span></a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://mastodon.social/tags/technews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>technews</span></a></p>
InfoQ<p><a href="https://techhub.social/tags/Google" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Google</span></a> is using <a href="https://techhub.social/tags/TransformerModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TransformerModels</span></a> for music recommendations! 🎶 </p><p>Now being tested on YouTube, this approach aims to understand sequences of user actions when listening to music to better predict user preferences based on their context.</p><p>More details: <a href="https://bit.ly/4e14ZdE" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/4e14ZdE</span><span class="invisible"></span></a> </p><p><a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> <a href="https://techhub.social/tags/InfoQ" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>InfoQ</span></a></p>
Harald Klinke<p>We have already experienced the lifelike AI voice imitation such as <a href="https://det.social/tags/ElevenLabs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ElevenLabs</span></a>. Now the video generation <a href="https://det.social/tags/Sora" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Sora</span></a> (still as a silent film). Will we next be able to put a text in the person's mouth and they will speak lip-synchronised? And then chatGPT, which already has a voice front end, will become a convincing video assistant? How much longer will it take?<br><a href="https://det.social/tags/HeyGen" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HeyGen</span></a> <a href="https://det.social/tags/transformermodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>transformermodels</span></a> <span class="h-card" translate="no"><a href="https://mastodon.social/@pallenberg" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>pallenberg</span></a></span></p>
UKP Lab<p>A warm welcome to Falko Helm, who has just started as a PhD candidate at the UKP Lab! 👋 Falko researches <a href="https://sigmoid.social/tags/Multimodality" class="mention hashtag" rel="tag">#<span>Multimodality</span></a> &amp; Structure for <a href="https://sigmoid.social/tags/TransformerModels" class="mention hashtag" rel="tag">#<span>TransformerModels</span></a>. He is also interested in <a href="https://sigmoid.social/tags/GraphTheory" class="mention hashtag" rel="tag">#<span>GraphTheory</span></a> to handle linked documents. Find more about Falko here: <a href="https://github.com/Falko1" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">github.com/Falko1</span><span class="invisible"></span></a></p>
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