Large Language Model

Large Language Models (LLMs) are neural networks trained on massive text corpora using unsupervised learning techniques like next-token prediction. They capture statistical patterns in human language, enabling them to generate coherent responses, translate between languages, summarize documents, and assist with code. LLMs have limitations including potential factual inaccuracies, sensitivity to prompt phrasing, and high computational costs for training and inference. Despite these challenges, they have become foundational to modern AI applications, powering chatbots, coding assistants, and enterprise Knowledge AI tools that automate complex language-based workflows.