Artificial Intelligence has made remarkable strides in recent years, with models achieving human-level performance in diverse tasks. However, the main hurdle lies not just in developing these models, but in deploying them optimally in real-world applications. This is where AI inference takes center stage, arising as a critical focus for scientists
Processing with Neural Networks: A Revolutionary Wave enabling Swift and Universal Predictive Model Architectures
Artificial Intelligence has achieved significant progress in recent years, with algorithms achieving human-level performance in diverse tasks. However, the real challenge lies not just in creating these models, but in implementing them efficiently in real-world applications. This is where inference in AI comes into play, surfacing as a key area for