The proposed framework for human performance reliability evaluation consists of three phases. First, data is obtained via subjective worker self-assessments and objective expert evaluations. Second, ...
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.
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...