Large Language Model (LLM)
I. Primary Definitions
- Large Language Model (LLM): An advanced artificial intelligence system trained on massive datasets to understand, process, and generate human-like text. These models utilize deep learning architectures, such as transformers, to predict and produce coherent language sequences.
- Examples: OpenAI’s GPT-4, Google’s Gemini, Meta’s Llama, and Anthropic’s Claude.
II. Practical Applications
LLMs are deployed across numerous sectors to automate and enhance complex natural language processing (NLP) tasks.
There are many ways to use LLMs. They are seen in automated content generation, document summarization, language translation, coding assistance, and conversational AI agents. In business environments, techniques such as Retrieval-Augmented Generation (RAG) to ground outputs in factual, proprietary data and reduce hallucinations.