Large Language Models (LLMs) are a transformative advancement in artificial intelligence, enabling machines to process, understand, and generate human-like text. Their development is driven by deep learning techniques, particularly transformer architectures, which enhance contextual comprehension and response generation. LLMs have applications across industries, from content creation and education to healthcare, finance, and legal services. However, their deployment raises ethical concerns, including bias, misinformation, and privacy risks. Regulatory frameworks like the EU AI Act and the U.S. AI Bill of Rights aim to address these challenges. Future advancements focus on improving efficiency, interpretability, and aligning AI with ethical standards.

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