Foundational Concepts
Pre-trained Model
An AI model that has already been trained on large datasets and is ready to use or customise.
Definition
Pre-training is the expensive, time-consuming phase where an AI model learns from vast amounts of data. A pre-trained model is the result of that process — a system that already has broad knowledge and can be put to use immediately or adapted for specific tasks. When a business uses a tool like ChatGPT or Claude, they are using a pre-trained model. Most commercial AI deployments build on pre-trained models rather than starting from scratch.
Related Terms
Foundation Model
A large AI model trained on broad data that can be adapted for many specific tasks.
Fine-tuning
Further training a pre-trained model on specific data to specialise it for a task.
Machine Learning (ML)
A method where computers learn patterns from data rather than being explicitly programmed.
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Disclaimer
This definition is provided for educational and informational purposes only. It represents a general explanation of a technical concept and does not constitute professional, technical, or investment advice. Artificial intelligence is a rapidly evolving field; terminology, techniques, and capabilities change frequently. Coaley Peak Ltd makes no warranty as to the accuracy, completeness, or currency of the information provided. Nothing on this page should be relied upon as the sole basis for commercial, technical, legal, or investment decisions without independent professional advice.
Document reference: ISO_webpage_knowledge-base_glossary_v1
Last modified: 29 March 2026
Knowledge Base·Foundational Concepts·Pre-trained Model