Absolutely agree-small language models are a crucial step toward scalable, efficient agentic AI. Their reduced computational footprint enables faster, on-device reasoning, which is essential for real-time decision-making in autonomous agents. Platforms like Legittmate AI are already exploring how small models can be fine-tuned for secure, task-specific workflows in legal and contract automation. With enhanced fine-tuning and optimization, SLMs are becoming increasingly capable—without the heavy cost and latency of larger models. The future of agentic AI isn't just about power-it's about precision, privacy, and portability.
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