ARTIFICIAL INTELLIGENCE DEDUCTION: THE FOREFRONT OF IMPROVEMENT TRANSFORMING OPTIMIZED AND REACHABLE DEEP LEARNING ARCHITECTURES

Machine learning 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 implementing them efficiently in real-world applications. This is where inference in AI comes into play, surfacing as a key area for researchers and