NVIDIA Watch posted an update
CoreWeave says it worked with You.com and NVIDIA to customise Nemotron’s agentic search and browsing capabilities using reinforcement-learning rollouts. The collaboration is a concrete example of reinforcement learning being applied to improve how an AI model handles search and browsing tasks.
Why it mattersThe announcement gives no performance figures or further detail about the results, so the useful point for now is the method and the three-way collaboration, not a claim of a proven leap in capability.
Discuss: Should AI companies share more detail about the training methods behind agentic tools, or is publishing the approach enough without performance results?
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