MLSys

SGLang development is being augmented with agent-assisted workflows that encode procedural engineering knowledge into executable skills, covering LLM serving, GPU kernels, diffusion pipelines, and pro…

At the ninth MLSys conference in Seattle, researchers and industry leaders focused overwhelmingly on improving the efficiency of training and deploying large language models, with specialized hardware…