PREDICTIVE MODELS REASONING: THE FOREFRONT OF IMPROVEMENT TRANSFORMING EFFICIENT AND AVAILABLE NEURAL NETWORK REALIZATION

AI has achieved significant progress in recent years, with algorithms achieving human-level performance in diverse tasks. However, the main hurdle lies not just in developing these models, but in implementing them efficiently in everyday use cases. This is where AI inference comes into play, surfacing as a primary concern for experts and innovators