Large Language Models (LLMs) are advanced artificial intelligence systems designed to understand, generate, and manipulate human language on a large scale. These models are built using deep learning techniques, particularly neural networks with many layers, and are trained on vast amounts of text data from diverse sources. Their architecture enables them to capture intricate patterns and nuances in language, allowing them to perform a variety of tasks such as translation, summarization, question answering, and content generation with a high degree of fluency and coherence. Examples of LLMs include OpenAI's GPT-3 and Google's BERT, which have demonstrated remarkable capabilities in natural language processing and have broad applications across numerous fields.
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