# Parameters (Edge AI Glossary)

## metadata
- term: Parameters
- slug: parameters
- letter: P
- route: /resources/glossary/parameters
- canonical: https://klyff.com/resources/glossary/parameters

## Definition & Context
In Edge AI, parameters are the internal variables or weights within an AI model that determine how it processes and interprets data. Each parameter fine-tunes the model’s...

## Details
## Parameters

#### What is Parameters?

In Edge AI, **parameters** are the internal variables or weights within an AI model that determine how it processes and interprets data. Each parameter fine-tunes the model’s behavior, influencing accuracy, prediction quality, and decision-making at the edge, where real-time insights matter most.

#### Why Is It Used?

Parameters are used to **optimize model performance** without retraining from scratch. By adjusting these values, Edge AI systems can **adapt to local environments**, handle specific data inputs, and enhance responsiveness while maintaining low latency and minimal cloud dependency.

#### How Is It Used?

In Edge AI applications, parameters are configured during training and fine-tuned during inference. Devices like IoT sensors or edge gateways use pre-trained models whose parameters are adjusted dynamically to reflect real-world inputs, improving outcomes in tasks like image recognition, predictive maintenance, and anomaly detection.

#### Types of Parameters

 
- **Trainable Parameters:** Updated during model training (e.g., weights, biases).
- **Non-trainable Parameters:** Fixed during training (e.g., configuration constants).
- **Hyperparameters:** Defined before training to control learning behavior (e.g., learning rate, batch size). 

#### Benefits of Parameters

 
- Enables **adaptive AI models** optimized for specific edge conditions.
- Reduces **computational load** and latency by eliminating excessive retraining.
- Improves **accuracy and energy efficiency** in resource-constrained devices.
- Supports **personalized decision-making** closer to the data source.