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๐Ÿ“š Deciphering the Attention Mechanism: Towards a Max-Margin Solution in Transformer Models


๐Ÿ’ก Newskategorie: AI Nachrichten
๐Ÿ”— Quelle: marktechpost.com

The attention mechanism has played a significant role in natural language processing and large language models. The attention mechanism allows the transformer decoder to focus on the most relevant parts of the input sequence. It plays a crucial role by computing softmax similarities among input tokens and serves as the foundational framework of the architecture. [โ€ฆ]

The post Deciphering the Attention Mechanism: Towards a Max-Margin Solution in Transformer Models appeared first on MarkTechPost.

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