Large Language Model
Also known as: LLM, Foundation Model, Language Model
A type of AI model trained on vast amounts of text data that can understand, generate, and manipulate human language, typically based on the transformer architecture with billions of parameters.
Sources & References
Related Terms
Context Window
The maximum amount of text (measured in tokens) that a large language model can process in a single interaction, encompassing both the input prompt and the generated output. Managing context windows effectively is critical for enterprise AI deployments where complex queries require extensive background information.
Natural Language Processing
A field of AI focused on enabling computers to understand, interpret, generate, and meaningfully interact with human language in both text and speech forms.
Prompt Engineering
The practice of designing, optimizing, and structuring inputs (prompts) to AI language models to elicit desired outputs, including techniques for instruction formatting, context provision, and output specification.
Tokens
The basic units of text that language models process, typically representing words, subwords, or characters. Token counts determine context window usage and API costs.
Transformer
A neural network architecture based on self-attention mechanisms that processes input sequences in parallel, forming the foundation of virtually all modern large language models.