Tiny Brains, Big Moves: How Small Language Models Help Robots Think on Their Feet
Small Language Models (SLMs) are increasingly being integrated into robotic systems for real-time decision-making tasks due to their compact size, lower computational requirements, and efficient inference capabilities. These models, typically consisting of tens to hundreds of millions of parameters, offer a balance between performance and deployability, making them suitable for embedded systems and edge devices where large-scale models...