Foundational Concepts
Weights
Another term for parameters — the stored knowledge inside a trained AI model.
Definition
Weights and parameters are two terms for the same thing: the numerical values that define how a trained AI model behaves. The word 'weight' comes from the training process, where the model adjusts the relative importance (weight) of different connections in response to seeing examples. After training, these values are fixed — they represent the model's learned knowledge and determine its responses to any given input.
Related Terms
Parameters
The internal numerical values a model adjusts during training — more parameters generally means more capable.
Model
The finished AI system after training — the 'brain' that processes inputs and produces outputs.
Fine-tuning
Further training a pre-trained model on specific data to specialise it for a task.
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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·Weights