Small Language Models Are the Future of Agentic AI
a year ago
- #Language Models
- #Agentic AI
- #Artificial Intelligence
- Small Language Models (SLMs) are argued to be the future of agentic AI due to their sufficiency, suitability, and cost-effectiveness for specialized tasks.
- Agentic AI systems often require models to perform repetitive, specialized tasks, making SLMs more appropriate than Large Language Models (LLMs).
- Heterogeneous agentic systems, which use multiple different models, are suggested for scenarios requiring general-purpose conversational abilities.
- The paper discusses potential barriers to adopting SLMs in agentic systems and proposes an LLM-to-SLM agent conversion algorithm.
- The shift from LLMs to SLMs could have significant operational and economic impacts on the AI agent industry.
- The authors aim to stimulate discussion on efficient AI resource use and reduce current AI costs, inviting contributions and critiques.