Meta has thrown down the gauntlet in the race for more efficient artificial intelligence. The tech giant released pre-trained models on Wednesday that leverage a novel multi-token prediction approach, potentially changing how large language models (LLMs) are developed and deployed.

This new technique, first outlined in a Meta research paper in April, breaks from the traditional method of training LLMs to predict just the next word in a sequence. Instead, Meta’s approach tasks models with forecasting multiple future words simultaneously, promising enhanced performance and drastically reduced training times.