Many users expressed excitement about the hosted RL run boosting NVIDIA Nemotron 3 Nano math accuracy from 22% to 91% for under $5 because the low cost and efficiency remove barriers to fine-tuning and make advanced experiments routine.
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seeing a model jump from 22% to 91% on a math task for under five bucks feels like the kind of practical progress that actually changes what’s possible for smaller teams. most of the big advances still require serious resources. when the loop gets this cheap and this straightforward, more people can start iterating instead of just watching from the sidelines. the systems that last will be the ones that make improvement accessible instead of exclusive.
@NVIDIAAI @PrimeIntellect taking a model from 22% to 91% on a math task for under five dollars is the kind of quiet product win that actually changes who gets to experiment.most people still think customizing models requires a research team and a big budget. this makes the whole loop feel almost casual.
@NVIDIAAI @PrimeIntellect that jump from 22% to 91% is wild for under $5 the barrier to fine-tuning is basically gone now
A hosted RL run took Nemotron 3 Nano from 22% to 91% accuracy on a math task for under $5. Using @PrimeIntellect Lab, the whole loop runs on hosted infrastructure. You check a baseline, train the model until the reward climbs, and retest to confirm it actually learned, ending with a downloadable LoRA adapter. You can also scale this workflow to Nemotron 3 Super and Ultra by changing one line.
Follow along with @llm_wizard below or read more here: https://developer.nvidia.com/blog/start-customizing-nvidia-nemotron-3-nano-with-prime-intellect-lab-in-minutes?ncid=so-twit-860681
Many users expressed excitement about the hosted RL run boosting NVIDIA Nemotron 3 Nano math accuracy from 22% to 91% for under $5 because the low cost and efficiency remove barriers to fine-tuning and make advanced experiments routine.
Based on 12 visible X reactions from 15 accounts; directional sample.
Ask a question below.
Published answers will appear here.