The model might be designed to achieve similar or better performance compared to existing AI models but with fewer computational resources, leading to faster inference times and reduced energy consumption.
Lean AI models may prioritize simplicity and ease of deployment, making them more accessible to developers and organizations with limited resources or expertise in AI.
Lean AI models could be engineered to scale effectively across various hardware platforms, from edge devices to cloud servers, enabling deployment in a wide range of applications and environments.