Fast.ai Tutor-AI-powered learning guide.

Example

The Tutor generates multiple-choice questions after explaining a deep learning topic, like neural network architectures, allowing users to test their comprehension immediately.

Scenario

After reading about ResNet architecture, a user may be quizzed on the function of skip connections to reinforce the concept and ensure retention.

Example

The Tutor offers live coding support, helping users understand how to build models, such as a convolutional neural network (CNN), from scratch using Fast.ai libraries.

Scenario

A learner working on building a digit classifier with PyTorch may receive real-time guidance through each step—loading data, building layers, and adjusting hyperparameters.

Example

By analyzing user projects, the Tutor suggests optimizations and advanced techniques like transfer learning or data augmentation to improve model performance.

Scenario

For a user building a sentiment analysis model, the Tutor might suggest using pre-trained models and guide them through fine-tuning with transfer learning techniques to improve accuracy.