In the realm of artificial intelligence (AI), relentlessly 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 architectures that exploit here the power of diverse data