The article explains six key concepts of large language models (LLMs) for beginners, highlighting their significance in machine learning. It covers language models as algorithms predicting word sequences, the process of tokenization for text management, word embeddings for contextual understanding, the attention mechanism for context focus, the Transformer architecture for improved processing, and the pretraining and fine-tuning processes necessary for specialized tasks. Understanding these concepts is crucial for leveraging LLMs effectively.