AI EXECUTION: THE VANGUARD OF IMPROVEMENT IN OPTIMIZED AND REACHABLE 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 developing these models, but in implementing them effectively in everyday use cases. This is where inference in AI becomes crucial, emerging as a critical focus for researc