INTERPRETING VIA ARTIFICIAL INTELLIGENCE: THE BLEEDING OF EVOLUTION DRIVING AGILE AND UBIQUITOUS MACHINE LEARNING FRAMEWORKS

Artificial Intelligence has advanced considerably in recent years, with systems achieving human-level performance in various tasks. However, the true difficulty lies not just in creating these models, but in deploying them effectively in everyday use cases. This is where inference in AI becomes crucial, surfacing as a primary concern for researcher

Artificial Intelligence has advanced considerably in recent years, with systems surpassing human abilities in various tasks. However, the real challenge lies not just in developing these models, but in implementing them effectively in everyday use cases. This is where AI inference comes into play, emerging as a critical focus for researchers and in