Post from NVIDIA AI linking to x.com

We received early access to the latest @NVIDIAAI Nemotron 3.5 Super VL and we are really impressed with the post-training results using Era http://era.eon.io Nemotron model matched frontier models at 88.9% accuracy, with 27× lower cost per correct answer using Spot GPUs. We then used Era-generated data to post-train Nemotron for just $609, improving its ability to recognize when information is missing while further reducing inference costs. The most exciting part to me is the potential to close the loop between benchmarking and post-training. Find where a model fails, generate the data to improve it, and test the new version against an entirely different simulated company. This could fundamentally change how enterprises customize open models for their specific needs. With Era, customers can apply this workflow to evaluate, improve, and deploy models tailored to their own enterprise environments. Great collaboration with the NVIDIA team, and much more to come! Full research: http://www.eon.io/blog/improving-nemotron-3-5-super-with-era