A Beginner's Guide to LLM Architectures
Over the past five years, the development of Large Language Models (LLMs) has almost completely reshaped the technological landscape of artificial intelligence. From GPT to LLaMA, from Transformer to Mixture-of-Experts (MoE), and from monolithic models to large-scale distributed parameter server systems, architectural evolution has directly driven leaps in capability. This article will systematically review the mainstream technical paths of LLMs from an architectural perspective, and analyze their pros, cons, and suitable scenarios from an application perspective, providing a reference for technical selection for R&D and business teams....