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<oembed><version>1.0</version><provider_name>Glosarix</provider_name><provider_url>https://glosarix.com/en/</provider_url><author_name>Team Glosarix</author_name><author_url>https://glosarix.com/en/author/adm_glosarix/</author_url><title>BERT Model Architecture - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="I5i9gvI59M"&gt;&lt;a href="https://glosarix.com/en/glossary/bert-model-architecture-en/"&gt;BERT Model Architecture&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/bert-model-architecture-en/embed/#?secret=I5i9gvI59M" width="600" height="338" title="&#x201C;BERT Model Architecture&#x201D; &#x2014; Glosarix" data-secret="I5i9gvI59M" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Description: The architecture of the BERT model (Bidirectional Encoder Representations from Transformers) is based on an innovative design that utilizes multiple layers of transformers. This approach allows the model to process language bidirectionally, meaning it can consider the context of a word not only from the words that precede it but also from those that [&hellip;]</description></oembed>
