Tune the Harness, Before Tuning the Model with LangChain | Nemotron Labs https://x.com/i/broadcasts/1MJgNNeWbklGL
I don't know how many ways to say this but - stop looking at model performance - it's almost all in the harness - decent harness can easily outclass top model evidence item #71625: https://developer.nvidia.com/blog/create-a-langchain-deep-agents-harness-profile-for-nvidia-nemotron-3-ultra-to-improve-performance/
Users affirm that tuning the harness is the real work in AI systems because flawed input capture for messy thoughts renders even strong tuning ineffective.
Based on 1 visible X reactions from 3 accounts; directional sample.
Ask a question below.
Published answers will appear here.
@NVIDIAAI Tuning the harness is the real work. Same for input—if the way we capture messy thoughts is broken, the tuning doesn't matter.
I don't know how many ways to say this but - stop looking at model performance - it's almost all in the harness - decent harness can easily outclass top model evidence item #71625: https://developer.nvidia.com/blog/create-a-langchain-deep-agents-harness-profile-for-nvidia-nemotron-3-ultra-to-improve-performance/
Tune the Harness, Before Tuning the Model with LangChain | Nemotron Labs https://x.com/i/broadcasts/1MJgNNeWbklGL
Users affirm that tuning the harness is the real work in AI systems because flawed input capture for messy thoughts renders even strong tuning ineffective.
Based on 1 visible X reactions from 3 accounts; directional sample.
Ask a question below.
Published answers will appear here.
