Interpolation in Positional Encodings and Using YaRN for Larger Context Window - MachineLearningMastery.com

Transformer models are trained with a fixed sequence length, but during inference, they may need to process sequences of different lengths. This poses a challenge because positional encodings are computed based on the sequence length. The model might struggle with positional encodings it hasn’t encountered during training. The ability to handle varying sequence lengths is […]