LMSYS Org announces that Cyrus, who works on post-training, reinforcement learning, and low-latency inference at Decagon, will speak at the SGLang Summit. Cyrus says he will cover how Decagon scaled its RL training pipelines to models of about 1 trillion parameters, and the summit runs November 12–13 in San Francisco.
Some of the most interesting ML research questions come from production. @cyrusasg's work at @DecagonAI spans post-training, RL, and low-latency inference for real customer-facing agents.
Welcome, Cyrus! Excited to hear what scaling these systems to ~1T parameters looks like at SGLang Summit! @sgl_project
i'll be speaking at sglang summit in SF, nov 12-13! going to walk through the post-training and inference work we’ve been doing at Decagon, and how we scaled out our RL training pipelines to ~1T param models if you’re going, let’s say hi! https://sglang.io/summit @sgl_project
Source: LMSYS Org · x.comPublished · added here
