Milline on vahet absoluutsete ja suhteliste positsiooniliste sisestuste vahel?

Absolute and relative positional embeddings are methods of encoding the position of tokens in a sequence for transformer models.

• Absolute positional embeddings assign a fixed vector to each position, which does not depend on other positions. For example, position 1 is always encoded with one vector, position 2 with another. This allows the model to know the exact position of the token.

• Relative positional embeddings encode the relative distance between tokens, rather than their absolute positions. This helps the model better consider the relationships between tokens regardless of their absolute position, which is useful for generalizing to sequences of different lengths.

Relative embeddings often improve the model's ability to generalize and capture context, especially in tasks where the relationships between tokens are more important than their fixed position.