Recent advancements in Large Language Models (LLMs), which are pre-trained Transformer models, are significantly impacting artificial intelligence, as explored in a comprehensive paper by multiple authors. The study delves into the background, key developments, and mainstream techniques of LLMs, with a focus on pre-training, adaptation tuning, utilization, and capacity evaluation. The paper highlights the emergent abilities of LLMs that surpass those of previous smaller pre-trained language models, revolutionizing AI algorithm development and utilization. The authors also examine the available resources for LLM development and identify future challenges, while noting the significant implications for artificial general intelligence prompted by models like ChatGPT and GPT-4.