Abstract: We propose a novel solution for predicting future trajectories of pedestrians. Our method uses a multimodal encoder-decoder transformer architecture, which takes as input both pedestrian ...

Traditional Large Language Models (LLMs) rely on a tokenizer (like BPE or SentencePiece) to convert text into subword tokens before feeding them to the transformer. The Byte Latent Transformer ...

This repository contains a from-scratch implementation of the original Transformer architecture, as introduced in the seminal paper "Attention Is All You Need" by Vaswani et al. The goal of this ...