Artificial Intelligence has achieved significant progress in recent years, with models surpassing human abilities in various tasks. However, the true difficulty lies not just in creating these models, but in deploying them effectively in real-world applications. This is where inference in AI takes center stage, emerging as a critical focus for scie
AI Processing: The Approaching Paradigm in Reachable and Streamlined Neural Network Adoption
Artificial Intelligence has achieved significant progress in recent years, with systems achieving human-level performance in diverse tasks. However, the main hurdle lies not just in creating these models, but in utilizing them optimally in everyday use cases. This is where inference in AI takes center stage, surfacing as a primary concern for exper