In the realm of artificial intelligence (AI), persistently striving for enhanced training paradigms is paramount. As AI models become more intricate, traditional techniques often fall short in achieving optimal performance. To mitigate this challenge, researchers are actively exploring novel frameworks that harness the power of diverse data sources