large language model

An AI system based on millions and billions of input parameters. Large language models differ from AI robots designed to handle specific tasks. While robots may employ large or small language models to generate textual or spoken results, they may employ machine vision and other technologies to perform their daily routine.

The World's Information Is Online

Since the mid-1990s, the bulk of the world's information is available over the Internet from search engines, blogs, websites and social media posts. A large language model (LLM) uses huge amounts of this information as input to an AI "neural network" to learn about a subject. For example, OpenAI's GPT-3 uses more than 150 billion data items. The final result is an AI algorithm that generates output from a given request. See neural network and AI emergent properties.

Smaller Models: Fine-Tuned and Edge

Designed for a very specific purpose such as writing source code, fine-tuned language models are smaller than an LLM. Edge language models are smaller yet and generally do not require processing in the cloud. See GPT, ChatGPT, LLaMA, LaMDA, PaLM and Gemini chatbot.