What Are Large Language Models?
Large Language Models (LLMs) are built on deep learning architectures, particularly transformer networks, trained on vast amounts of text to understand context and generate coherent, relevant language in response to a prompt. Their capabilities have expanded well past text generation: modern LLMs can call external tools, execute multi-step tasks, and serve as the reasoning engine behind autonomous agents, which is why LLM behavior is now central to most AI security discussions..
Despite continued improvement, LLMs still exhibit biases in their outputs, can produce confidently incorrect information, and raise ongoing ethical and governance questions around their use.
