Components#
Overview#
The Cerebras documentation offers comprehensive guides on several key components crucial for efficient machine learning workflows:
The data preprocessing sections cover techniques for preparing data preprocessing and deduplicating data to ensure high-quality inputs.
Data loaders and configuration classes provide detailed instructions on managing data efficiently and customizing model configurations.
The Trainer components help navigate users through the intricacies of training models, while the Model Zoo sections such as Model Zoo config classes and Model Zoo usage examples offer insights into leveraging pre-trained Cerebras Model Zoo models and the Model Zoo registry for streamlined integration and usage.
These components collectively support robust and scalable AI model development.