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 ...
Abstract: The Bayesian network (BN) method has been identified as a research hotspot in dynamic risk assessment (DRA) for systems. The traditional BN inference process relies on crisp probabilities; ...
Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it step by step, and see real-world examples.
The Inference Gateway is a proxy server designed to facilitate access to various language model APIs. It allows users to interact with different language models through a unified interface, ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results