For AI work, including working with Large Language Models (LLMs), a Core i7 processor is typically more suitable than a Xeon processor. Core i7 processors are designed for high-performance tasks, including AI-related work, and they often offer better single-threaded performance, which is important for many AI applications. Xeon processors are designed for server and workstation environments and may have more cores, but for many AI tasks, a high clock speed and good single-threaded performance are more important.
That said, the specific choice of CPU depends on your budget and the exact requirements of your AI work. In some cases, a Core i9 or even a specialized AI GPU (Graphics Processing Unit) like an NVIDIA RTX card may be a better choice for certain AI tasks. It's essential to consider your specific workload and budget when selecting the best hardware for AI and LLMs.