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Phase 8 · Deep Learning Architectures

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Positional Encoding

Part of the AI Engineer Roadmap.

Summary

A technique that injects information about token order into a Transformer, since self-attention alone has no sense of sequence position.

How to Learn This

1Learn the sinusoidal positional encoding formula and why it was chosen.
2Understand learned vs. fixed positional encodings and where each is used.
3Read about rotary positional embeddings (RoPE) used in modern LLMs.

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Transfer Learning

More topics in Deep Learning Architectures

Convolutional Neural Networks (CNNs)Pooling Layers Recurrent Neural Networks (RNNs)LSTMs & GRUs Sequence-to-Sequence Models Attention Mechanism Transformer Architecture Transfer Learning Autoencoders Generative Adversarial Networks (GANs, Overview)

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