Fine-tuned Nemotron 3.5 Beats Opus on Harvey Platform
NVIDIAAI · x · 2026-08-13
Trajectory Labs shared their results using NVIDIA's Nemotron 3.5 Lightning for continual learning.
They noted that as retraining costs decrease, smaller models can run nightly continual learning loops per customer. Applying this approach, they post-trained Nemotron 3.5 Lightning on the Harvey platform with a single click. The fine-tuned model's score jumped from 0% to 8.3%, outperforming the Opus 4.6 model, which scored 6.6%.
Related event: Fine-tuned NVIDIA Nemotron 3.5 Outperforms Claude Opus(4 posts)→
More from coding & agent
- Meta open-sources Muse Spark Open agent model with day-0 TPU support in SGLang — BanghuaZ · 2026-10-16
- Saying "load-bearing" in your prompt makes Opus 5.5 stop holding back — zacharynado · 2026-10-16
- You.com partners with Paperclip to give every agent live web access — PolarBearby · 2026-10-16
- I priced every Grok Bot call: $20 to $200 plan in 5 days, long jobs eat 52% — jonathanmalkin · 2026-10-16
- GitHub is criminally underrated as a free data store, devs argue — blelbach · 2026-10-16
- Claude Desktop doesn't support MCP sampling — here's a workaround for two-way MCP apps — wuj · 2026-10-16