Afaxon Blog

How Small Models Could Become Game Changers in the Future Compared to Large Models

For years, the prevailing wisdom in AI was that bigger is better—larger neural networks were believed to always deliver superior performance. However, as the field matured, researchers began to observe diminishing returns, and new techniques emerged that challenge this assumption. Many now argue that small models can match or even exceed the performance of large models—particularly when combined with advanced training strategies, efficient architectures, and purpose-built applications.