Trajectory 一键后训练 Nemotron 3.5 Lightning，测试冲到 8.3% 超 Opus 4.6，小模型按客户定制能落地。
Trajectory 获得 NVIDIA Nemotron 3.5 Lightning 早期访问权，在 Harvey LAB 上完成后训练。该后训练在 Trajectory 平台一键完成，无需新工程。模型在一项测试中从 0% 提升到 8.3%，超过 Opus 4.6 的 6.6%。Trajectory 强调持续学习让小型模型可每晚、按客户反复训练，逼近按量计费的智能。
https://t.co/WLyKumh5ch
x.com/trajectorylabs… Trajectory @trajectorylabs Continual learning is a bet that the retraining loop will get cheaper over time. With larger models, you can maybe run this loop once every few weeks. But with smaller models, you can run it nightly, per customer. And it keeps recursing: a model per company, then a model per client that company serves, then per matter. We’re getting closer to intelligence cheap enough to meter. On the path to this, we received early access to, and post-trained @nvidia 's Nemotron 3.5 Lightning on @harvey LAB. One click on the Trajectory platform, no new engineering. 0% to 8.3%, above Opus 4.6 at 6.6%. 🔗 View Quoted Tweet 💬 0 🔄 0 ❤️ 1 👀 250 ⚡