

Agent Loops: Transforming Tokens into Productivity
βπ£ Agent Loops: Transforming Tokens into Productivity
βSGLang Office Hours is back!
βThis week we're joined by Ligeng Zhu (@LigengZhu), Scientist at NVIDIA Research, to talk about how agent loops can actually turn tokens into real productivity.
βLigeng will share about Humanize, an agentic flow framework that lets agents run on their own to tackle complex engineering and research problems the way a human would.
βHe'll then walk through three long-running agent-loop case studies:
βKDA: writing fast CUDA kernels, ranked #1~3 on the MLSys FlashInfer Kernel Contest
βAnthropic's Virtual Hardware: optimizing computation on hardware that doesn't physically exist yet
βJetAutoResearch: ahead-of-time compilation that cuts >50% of the AutoResearch workflow cost
βHe'll also talk about what's coming in Humanize 2.0 / 3.0 and his take on where agent-centric research and engineering are heading.
βJoin our office hour stream and bring your questions for Ligeng!
Youtube Living stream π SGLang Office Hour
Join SGLang Slack π http://slack.sglang.ai/
Following us on X π https://x.com/lmsysorg
βIf this helps you, please consider giving us a star β it truly motivates the team. β https://github.com/sgl-project/sglang