Language Models are AI systems designed to understand, generate, and manipulate natural language. At their core, these models leverage advanced deep learning architectures, particularly transformer networks, to process complex linguistic patterns, semantics, and context across multiple languages and domain-specific knowledge bases.
They are built using machine learning techniques and trained on vast amounts of textual data, ranging from books and articles to web content, to predict and generate text based on context and input. This extensive pre-training allows them to internalize grammar, reasoning frameworks, and factual relationships before fine-tuning.
