Large Language Models, commonly referred to as LLMs, represent one of the most significant advancements in artificial intelligence in recent decades. At their core, these models are sophisticated neural networks trained on enormous volumes of text data, enabling them to understand, generate, and manipulate human language with remarkable proficiency. Unlike traditional rule-based systems or earlier machine learning approaches that relied on hand-crafted features, LLMs learn patterns, grammar, semantics, and even world knowledge directly from raw text through a process known as self-supervised pre-training.
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