Model Weight

Definitions

1. A learned numerical parameter in a model that influences how inputs are transformed into outputs. Collectively, model weights encode much of the behavior learned during training.

   In plain English: One of the learned numeric values inside a model.

   Example: "The fine-tune changed only a small subset of model weights, but the shift in product behavior was still obvious in evaluation."

Related Terms

• AI Language
• AI Parameter
• Classifier
• Model Benchmark
• Model Config
• Model Context
• Model Deployment
• Weight Merging
• Weight Quantization