But CPUs are already the most widely deployed and can be companions to processors like GPUs and tensor processing units (TPUs). These enhancements and strong software support mean modern CPUs are a good choice to handle a range of inference tasks. Quantum computing represents another promising area in AI hardware. Understanding models and paradigmsThe developments in ML theories and network architectures have significantly enhanced the efficiency and capabilities of AI models. Researchers have developed techniques, including few-shot learning, to train AI models using smaller datasets and fewer training iterations.