Sebastian Sigl

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An article explaining the intuition behind the “positional embedding” in transformer models from the renowned research paper - “Attention Is All You Need”. An article explains the intuition. The concept of embedding in NLP is a process used in natural language processing for converting raw text into mathematical vectors. Embedding is to make the neural network understand the ordering and positional dependency in the sentence.

Positional Embedding: The Secret behind the Accuracy of Transformer Neural Networks

In this article, Ruslan Yevych will show you an easy way how to predict the appearance of a problem known as WCAG Failure Under 1.4.4 Resize Text (AA) while zooming the page.

Fluid Typography: How To Predict A Problem With Your User’s Zoom-In

https://smashingmagazine.com

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Positional Embedding: The Secret behind the Accuracy of Transformer Neural Networks

https://hackernoon.com

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