Tiny models slash cost and latency for next‑gen AI agents
New NVIDIA research shows tiny language models can replace costly frontier models for the repetitive, format‑bound steps agents perform. Running locally on devices, they shave latency, cut cloud costs, and boost reliability while reserving big models for truly creative reasoning.