AUTOMATED REASONING COMPUTATION: THE BLEEDING OF EVOLUTION TRANSFORMING REACHABLE AND STREAMLINED NEURAL NETWORK ADOPTION

Machine learning has achieved significant progress in recent years, with models achieving human-level performance in various tasks. However, the true difficulty lies not just in training these models, but in implementing them effectively in everyday use cases. This is where inference in AI becomes crucial, arising as a key area for researchers and