Beyond Next-Token Prediction? Meta’s Novel Architectures Spark Debate on the Future of Large Language Models
A pair of groundbreaking research initiatives from Meta AI in late 2024 is challenging the fundamental “next-token prediction” paradigm that underpins most of today’s large language models (LLMs). The introduction of the BLT (Byte-Level Transformer) architecture, which eliminates the need for tokenizers and demonstrates significant potential in multimodal alignment and fusion, coincided with the unveiling…
