Categories: AI/ML Research

Linear Layers and Activation Functions in Transformer Models

This post is divided into three parts; they are: • Why Linear Layers and Activations are Needed in Transformers • Typical Design of the Feed-Forward Network • Variations of the Activation Functions The attention layer is the core function of a transformer model.
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Scalable intelligent document processing using Amazon Bedrock Data Automation

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How Keeta processes 11 million financial transactions per second with Spanner

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