AI Decision-Making: The Looming Horizon in Reachable and Streamlined Neural Network Adoption
Machine learning has made remarkable strides in recent years, with algorithms achieving human-level performance in numerous tasks. However, the main hurdle lies not just in training these models, but in deploying them effectively in everyday use cases. This is where inference in AI comes into play, arising as a primary concern for experts and indus