88Z AI, 23 October — Tencent Hunyuan and Fudan University jointly launched the WorkForge framework, designed to scale the construction of verifiable agent work environments from real-world resources. They simultaneously released the WorkForge-16K dataset, covering 16,700 work environments across 40 professional fields. The WorkForge-27B model, trained on real workspace trajectories from this framework, performed excellently, comprehensively surpassing models with hundreds of times more parameters in five major work
At a glance
- Tencent and Fudan launched WorkForge framework and WorkForge-16K dataset with 16,700 environments
- WorkForge-27B model outperforms models with 100x more parameters on five major benchmarks
The update
Tencent Hunyuan and Fudan University collaborated to launch the WorkForge framework, which is dedicated to scaling the construction of verifiable agent work environments using real-world resources. Accompanying the framework is the WorkForge-16K dataset, containing sixteen thousand seven hundred work environments spanning forty professional fields. Building on this, the team trained the WorkForge-27B model using real workspace trajectories. Test results show that the model performed excellently on five major work agent benchmarks, including GDPval, comprehensively surpassing models with a hundred times more parameters, demonstrating the framework's effectiveness in enhancing agent work capabilities.
Sources & editorial note
This article is an AI-assisted synthesis by 88Z AI based on the public sources below. Product claims and availability are attributed to their publishers. It does not represent independent testing or first-hand reporting.
- 腾讯混元Source published
Source dates above refer to the original announcements; the date under the headline is this article’s publication on 88Z AI.