INTERPRETING BY MEANS OF NEURAL NETWORKS: THE BLEEDING OF EVOLUTION ACCELERATING LEAN AND ACCESSIBLE MACHINE LEARNING TECHNOLOGIES

Artificial Intelligence has made remarkable strides in recent years, with models achieving human-level performance in various tasks. However, the true difficulty lies not just in developing these models, but in implementing them effectively in real-world applications. This is where inference in AI becomes crucial, arising as a key area for research