5 Ways SLMs Power Next-Gen Agents

Small language models (SLMs) are replacing frontier models in agentic AI for specialized, repetitive tasks. NVIDIA Research argues SLMs are more reliable and economical for tool calling and edge deployment. Fine-tuned SLMs achieve over 90% accuracy on specific schemas. Heterogeneous architectures pairing frontier planners with SLM workers cut costs by 10x and latency by 31.6%.