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At the heart of these AI systems are *large language models (LLMs)*, which are trained on massive datasets of text and code. These datasets can include books, articles, websites, and more. By analyzing these vast amounts of information, the models learn the patterns and structures of language, enabling them to perform tasks such as text generation, translation, summarization, and question answering. Some of the notable examples include models like **BERT (Bidirectional Encoder Representations from Transformers)**, **LaMDA (Language Model for Dialogue Applications)**, and **PaLM (Pathways Language Model)**.
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