Small Models & Edge Efficiency
Small Models & Edge Efficiency
Articles on parameter-efficient AI models, small language models (SLMs), and task-specific architectures optimized for edge deployment on smartphones, IoT devices, robotics, and local hardware — covering efficiency breakthroughs that enable capable AI without cloud dependency.
small models edge efficiencyJul 8, 20266 min
Why Liquid AI's 230M-Parameter Model Beats Bigger Systems at the Jobs That Matter
Liquid AI's LFM2.5-230M demonstrates that the future of production AI isn't about scale — it's about task-specific optimization. At just 230 million parameters, this model beats models 4× its size at structured data extraction and runs on smartphones, laptops, and robotics hardware without cloud dependency.