AI Glossary
Large Language Model (LLM)
Understanding AI Terminology
An AI system trained on massive text data to understand and generate human language.
What It Means
A Large Language Model (LLM) is a type of artificial intelligence trained on vast amounts of text data to understand, generate, and manipulate human language. These models use deep neural networks with billions of parameters to learn patterns in language, enabling them to perform tasks like writing, summarization, translation, and code generation.
Examples
- GPT-4 is an LLM developed by OpenAI
- Claude is an LLM created by Anthropic
- Llama is Meta's open-source LLM
How This Applies to ARKA-AI
ARKA-AI provides access to multiple LLMs through a unified interface, with ARKAbrain automatically selecting the best model for each task.
Frequently Asked Questions
Common questions about Large Language Model (LLM)
The 'large' in LLM refers to the number of parameters (typically billions) and the amount of training data. Larger models generally have better capabilities but require more computational resources.
LLMs predict the most likely next token (word or word fragment) based on the context provided. By repeatedly predicting the next token, they generate coherent text responses.
Explore Related Content
Ready to put this knowledge to work?
Experience these AI concepts in action with ARKA-AI's intelligent multi-model platform.
BYOK: You stay in control
No token bundles
Cancel anytime
7-day refund on first payment