AI has achieved significant progress in recent years, with models surpassing human abilities in diverse tasks. However, the true difficulty lies not just in creating these models, but in utilizing them optimally in practical scenarios. This is where inference in AI becomes crucial, arising as a key area for scientists https://recursal45565.wizzardsblog.com/28003951/neural-networks-execution-the-summit-of-breakthroughs-towards-widespread-and-agile-ai-execution