# Pre-trained Models

Pre-trained models are Machine Learning (ML) models that have been previously trained on a large dataset to solve a specific task or set of tasks. These models learn patterns, features, and representations from the training data, which can then be fine-tuned or adapted for other related tasks. Pre-training provides a good starting point, reducing the amount of data and computation required to train a new model from scratch.

Visit the following resources to learn more:

- [@article@Pre-trained models: Past, present and future](https://www.sciencedirect.com/science/article/pii/S2666651021000231)