Artificial Intelligence
Large Language Model (LLM)
Also known as: LLM & Large Language Model
Definition
A glossaryGenerative AIGenerative AI refers to systems that create new content such as text, images, or code based on learned patterns from data.Open glossary term is an AI glossaryModelA model is a system or representation used to process data and generate outputs, often trained to perform specific tasks.Open glossary term trained on vast amounts of text glossaryDataData is raw information collected and stored for analysis, processing, or decision-making.Open glossary term to understand and generate human-like language.
In practice
Used for chatbots, content generation, summarisation, and language-based tasks.
The reality
LLMs can produce convincing outputs but may be inaccurate or lack real understanding.
Also known as
LLM & Large Language Model
Plain English
An AI that understands and writes text.
FAQ
Common questions
A few practical answers to the questions that usually come up around this term.
What is a large language model?
It is an AI trained on large text glossaryDatasetA dataset is a structured collection of data used for analysis, training models, or processing.Open glossary term to generate human-like language.
What are LLMs used for?
Content generation, chatbots, and summarisation.
Are LLMs always correct?
No, they can produce inaccurate or misleading information.
What powers LLMs?
Large glossaryDatasetA dataset is a structured collection of data used for analysis, training models, or processing.Open glossary term and neural network glossaryArchitectureArchitecture refers to the structure and organisation of a system, including how components interact and are designed.Open glossary term.
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