What does “Open-Source Model” mean?

The core training algorithm that updates model weights by propagating prediction errors backward through the network.

Methods that transfer a model trained in one domain to perform better in another domain.

AI systems that produce new content such as text, images, audio, video, or code.

A parameter-efficient fine-tuning method that adds low-rank adapter matrices.

Reducing numeric precision of model weights to decrease memory and inference cost.

Initial large-scale model training on broad data before downstream adaptation.