Cookie Consent
Hi, this website uses essential cookies to ensure its proper operation and tracking cookies to understand how you interact with it. The latter will be set only after consent.
Read our Privacy Policy


In machine learning, a parameter is an internal variable of a model that is learned from the training data. These include weights in neural networks, coefficients in regression models, and similar elements.

The Role of Parameters

Parameters are fundamental to machine learning models as they define the model's specific implementation of the learned relationships between input features and predictions. The process of training a model involves adjusting these parameters to minimize error and improve the model's performance on unseen data.

Lakera LLM Security Playbook
Learn how to protect against the most common LLM vulnerabilities

Download this guide to delve into the most common LLM security risks and ways to mitigate them.

Related terms
untouchable mode.
Get started for free.

Lakera Guard protects your LLM applications from cybersecurity risks with a single line of code. Get started in minutes. Become stronger every day.

Join our Slack Community.

Several people are typing about AI/ML security. 
Come join us and 1000+ others in a chat that’s thoroughly SFW.