NEURAL NETWORKS INTERPRETATION: THE FUTURE TERRITORY DRIVING ACCESSIBLE AND RESOURCE-CONSCIOUS MACHINE LEARNING INTEGRATION

AI has advanced considerably in recent years, with systems achieving human-level performance in various tasks. However, the real challenge lies not just in developing these models, but in implementing them effectively in practical scenarios. This is where inference in AI becomes crucial, arising as a key area for researchers and industry profession