Key Points
However, this has led to concerns about the energy consumption and the carbon footprint of these models..
By contrast, lightweight models require less power and computing resources, which makes them more environment-friendly..
By contrast, lightweight models can achieve comparable accuracy with much smaller datasets, which makes them more accessible to small businesses and startups that may not have large datasets...
* Some researchers have proposed using alternative algorithms, such as decision trees or rule-based systems that are inherently more lightweight than deep learning models...
Lightweight AI models are particularly important for applications that require real-time decision-making, or are deployed in remote areas with limited resources..
