AUTOMATED REASONING EXECUTION: THE APPROACHING PARADIGM FOR ATTAINABLE AND STREAMLINED NEURAL NETWORK ADOPTION

Artificial Intelligence has advanced considerably 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 deploying them optimally in everyday use cases. This is where machine learning inference becomes crucial, surfacing as a key area for experts