Choosing an AI model to turn a long textbook into Anki cards
A large graduate-level textbook needs to be turned into fill-in-the-blank cards for Anki. Anki is a flashcard app that schedules review so people study information before they forget it. The desired cards are single-sentence fact cards with detailed formatting rules that are already written.
The expected output is at least about 3,000 cards. The main need is a model that can handle long chunks of text while still following the original instructions.
Key points
- The task is to convert a large textbook into Anki .
- The output may be 3,000 or more single-sentence cards.
- The cards must follow detailed fill-in-the-blank formatting rules.
- The model needs to handle long text without losing the instructions.
- Batching and review steps may matter as much as raw model size.