BEYOND STANDARD LLMS

Summary from the TLDR AI newsletter

The largest and most capable open-weight large language models today are autoregressive decoder-style transformers. Some alternatives have popped up in recent years. While some are geared toward better efficiency, others are aimed at improving model performance. This article gives an overview of alternative models that exist, from text diffusion models to the most recent linear attention hybrid architectures.