Positional Encoding in Transformer | Sinusoidal Positional Encoding Explained

Transformers process tokens in parallel — so how do they understand word order? In this video, we explore positional encodings in Transformers, starting with sinusoidal positional encodings and learnable absolute position embeddings. We begin by explaining why Transformers need positional information, and why naive indexing or normalization approaches fail. Then, step by step, we build intuition for sinusoidal positional encodings — including the role of sine and cosine, the meaning of the 10,000 scaling factor, and how different dimensions capture local vs global positional relationships. …