English / 英文
Tweet from @NVIDIAAI (2026-05-29)
This is a great read on post-training and open models.
@harvey & @trajectorylabs post-trained Nemotron 3 Super on complex legal tasks with some very impressive initial results. All with auditable weights, real security, and clear provenance.
Quoted Tweet from @harvey:
We're partnering with @trajectorylabs to bring sovereign continual learning to legal AI with NVIDIA Nemotron models.
Continual learning allows agents to improve over time from feedback on their work: every redline refines the next draft.
Open-weight models offer full auditability and data sovereignty over legal agents.
Using Trajectory's platform, we post-trained NVIDIA Nemotron 3 Super on our Legal Agent Benchmark (LAB), measuring performance on 1,200+ complex end-to-end legal tasks across 24 practice areas.
Initial results show that a post-trained Nemotron 3 Super can match performance of closed-source frontier models.
This is just the start: we'll keep pushing the frontier with the more powerful Nemotron 3 Ultra when available.
中文 / Chinese
@NVIDIAAI 推文（2026-05-29）
这是一篇关于后训练（post-training）和开源模型的精彩文章。
@harvey 和 @trajectorylabs 使用 NVIDIA Nemotron 3 Super 模型，在复杂法律任务上进行后训练，取得了非常亮眼的初步成果。全程使用可审计权重、真正的安全保障和清晰的数据溯源。
@harvey 引用推文：
我们正与 @trajectorylabs 合作，将主权持续学习（sovereign continual learning）引入法律 AI 领域，使用 NVIDIA Nemotron 模型。
持续学习让 AI 智能体能够从工作反馈中不断提升：每一次红标修改都会优化下一份草稿。
开源权重模型为法律智能体提供了完整的可审计性和数据主权。
利用 Trajectory 平台，我们在法律智能体基准（LAB）上对 NVIDIA Nemotron 3 Super 进行了后训练，评估涵盖 24 个实践领域、1200 多项复杂的端到端法律任务。
初步结果表明，后训练后的 Nemotron 3 Super 能够达到闭源前沿模型的性能水平。
这只是开始——更强性能的 Nemotron 3 Ultra 推出后，我们将继续推动技术前沿。