Small Language Models are the Future of Agentic AI

Small Language Models are the Future of Agentic AI

From Deep Papers by Arize AI

September 5, 2025 · 31 min

About this episode

Peter Belcak discusses the potential of small language models in agentic AI systems.

We had the privilege of hosting Peter Belcak – an AI Researcher working on the reliability and efficiency of agentic systems at NVIDIA – who walked us through his new paper making the rounds in AI circles titled “Small Language Models are the Future of Agentic AI.” The paper posits that small language models (SLMs) are sufficiently powerful, inherently more suitable, and necessarily more economical for many invocations in agentic systems, and are therefore the future of agentic AI. The autho...

People in this episode

Guest: Peter Belcak

Topics covered

  • agentic AI
  • small language models
  • AI research
  • efficiency
  • reliability

Keywords

  • small language models
  • agentic systems
  • AI efficiency
  • AI reliability
  • NVIDIA

Mentioned in this episode

Organizations: NVIDIA

Books & works: Small Language Models are the Future of Agentic AI

More episodes of Deep Papers

Explore listener stats, chart rankings, contacts and more on the Deep Papers podcast page.