✨ Small Language Models as the Future of Agentic AI

The video a strong position statement arguing that Small Language Models (SLMs) are the future of agentic AI, despite the current dominance of Large Language Models (LLMs). The authors contend that SLMs are sufficiently powerful, more economical, and operationally more suitable for the specialized and repetitive tasks common in AI agents. They provide arguments grounded in modern SLM capabilities and inference efficiency, advocating for a shift to SLM-first architectures or heterogeneous systems that use LLMs only when necessary. Furthermore, the paper outlines a conversion algorithm to help developers migrate existing LLM-based agents to more efficient SLM solutions and discusses barriers to adoption such as industry inertia and infrastructure investment.

Видео ✨ Small Language Models as the Future of Agentic AI канала AI, Career Growth and Life Hacks