What are large language models (LLMs)?

Large language models (LLMs) are a specialized type of artificial intelligence that interprets and generates human-like text by employing deep learning techniques on vast datasets. These models, exemplified by systems like ChatGPT, utilize transformer models to comprehend language patterns and context, enabling them to automate workflows, enhance decision-making, and foster innovation across various industries. The "large" in LLMs refers to the massive number of parameters they operate with, allowing them to provide coherent responses in diverse contexts, from content generation to advanced search and document retrieval. Businesses leverage LLMs to optimize operations, with the global market projected to expand significantly in the coming years. Challenges such as LLM hallucination, where the model generates inaccurate information, can be mitigated using techniques like retrieval-augmented generation (RAG) to ensure more accurate outputs. Companies like Box integrate these models into platforms to enhance content management with features like document creation, workflow automation, and secure data handling, thereby maximizing the utility of unstructured content.

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