ALiBi (Attention with Linear Biases)

A research team is designing a self-attention-based model. Their primary goals are to ensure the model can effectively process sequences much longer than any it encounters during training and to minimize the number of trainable parameters dedicated to positional information. Which of the following strategies for representing token positions best aligns with these two goals?

Choosing a Positional Information Strategy

A primary advantage of using a fixed, rule-based method for incorporating relative position information into self-attention is its ability to be finely tuned to a specific training dataset, thereby achieving peak performance for tasks where input sequences have a consistent, predetermined length.