The Tsinghua Knowledge Engineering Group (KEG) is dedicated to advancing the frontiers of Artificial General Intelligence (AGI) and empowering global academic discovery through AMiner.org.
Teaching machines to think like humans, at scale, and for the world.
Pursuing artificial general intelligence by teaching machines to think, reason, and understand the world in human-like ways.
Building large-scale foundation models and systems that turn AGI research into real, deployable intelligence.
Advancing open science through shared models, platforms, and global communities, creating broad scientific and societal impact.
We conduct long-term research on large-scale foundation models for language, vision, code, and agent, and have developed a family of representative models including GLM, ChatGLM, GLM-V, CogVideo & CogView, CodeGeeX, and AutoGLM. These models are widely adopted by both academia and industry worldwide. More models are available on our GitHub. We also built AMiner.org, a global academic knowledge platform serving researchers across disciplines.
We invite researchers, students, and innovators to collaborate with us on the exciting area of artificial general intelligence.