InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
9to5Mac

Apple taught an LLM to predict tokens up to 5x faster in math and coding tasks

A new research paper from Apple details a technique that speeds up large language model responses, while preserving output quality. Here are the details. Traditionally, LLMs generate text one token at ...
VentureBeat

Meta drops AI bombshell: Multi-token prediction models now open for research

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Meta has thrown down the gauntlet in the ...
VentureBeat

DeepMind’s GenRM improves LLM accuracy by having models verify their own outputs

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Large language models (LLMs) are prone to ...