PREDICTIVE MODELS REASONING: THE UNFOLDING INNOVATION IN REACHABLE AND STREAMLINED NEURAL NETWORK ADOPTION

Machine learning has achieved significant progress in recent years, with models matching human capabilities in diverse tasks. However, the true difficulty lies not just in training these models, but in implementing them efficiently in real-world applications. This is where AI inference takes center stage, emerging as a key area for experts and tech