TechTowards Data Scienceabout 2 hours ago
Why Transformers Need Positional Encoding
1 min read
Transformers require positional encoding because self-attention processes all observations simultaneously without inherent order awareness. Sinusoidal encoding assigns each timestep a vector using sine and cosine functions at different frequencies, enabling models to distinguish positions and relative distances in time series.
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