FASTER MULTI-MODAL MODELS WITH TOKEN MERGING

Summary from the TLDR AI newsletter

Researchers have developed a training-free method to make multi-modal language models (LLMs) more efficient without sacrificing much performance. Their approach reduces computational demands by up to 7 times by smartly merging and pruning visual data tokens.