详解大模型原理与局限，助科研与产业高效应用
A Primer on Large Language Models and their Limitations
- 梳理大模型核心技术与基本原理
- 指出当前模型在推理与幻觉上的主要缺陷
- 适合入门者快速掌握大模型核心知识
本文为大型语言模型（LLMs）提供入门指南，系统阐述其核心概念、技术原理、优势、局限性、应用场景及未来研究方向。旨在帮助学术界与产业界人士理解大模型的关键机制，提升日常任务效率，并推动该技术在复杂场景中的深度应用。内容涵盖模型架构、训练方法、部署挑战及伦理考量，为初学者和实践者提供全面认知框架。
原文摘要 · Abstract (English)
This paper provides a primer on Large Language Models (LLMs) and identifies their strengths, limitations, applications and research directions. It is intended to be useful to those in academia and industry who are interested in gaining an understanding of the key LLM concepts and technologies, and in utilising this knowledge in both day to day tasks and in more complex scenarios where this technology can enhance current practices and processes.
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