Скачать или смотреть What Happens After Attention in Transformers? | Feed-Forward Network (FFN) Explained

What Happens After Attention in Transformers? | Feed-Forward Network (FFN) Explained

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Описание к видео What Happens After Attention in Transformers? | Feed-Forward Network (FFN) Explained

After self-attention and multi-head attention, how does a transformer actually understand information?

In this video, we explain the Feed-Forward Neural Network (FFN) in transformers using simple language, real-world examples, and whiteboard visuals.

You will learn:
• Why attention alone is not enough
• What the Feed-Forward Network does inside a transformer
• What non-linearity means and why it is important
• How FFN processes each token independently
• Where FFN fits in models like GPT

This video is part of our Generative AI and Transformer architecture series.

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