Hugging Face published a new post from NVIDIA focused on data for AI agents. The piece emphasizes that agentic systems need data suited to planning, tool use, and multi-step behavior rather than only static text prediction.
As AI agents become more common in coding, robotics, and enterprise workflows, training and evaluation data is becoming a key bottleneck. Open datasets can help developers compare systems and reproduce results across model stacks.
The post fits a wider industry trend toward treating data pipelines and benchmarks as core infrastructure for agent development.