Fine-Tuning
Customizing a pre-trained AI model by training it further on a smaller, specific dataset (e.g., to support school curriculum content).
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K–5th
Fine-tuning is like teaching a robot that already knows a lot to get even better at one special thing, like reading your favorite book or solving classroom puzzles.
6–8th
Fine-tuning is when an AI that already knows a lot gets extra practice on one topic, like a student who studies extra hard for science class. It helps the AI get better at specific tasks.
9–12th
Fine-tuning involves taking a general AI model and continuing its training on a more targeted dataset. This allows it to specialize, such as adapting a language model to handle educational content more effectively.
Expeditions
K–5th
Pretend students are robots that already know the alphabet. Give them practice with only one letter (e.g., “B”). Then talk about how fine-tuning helps AI get better at certain things.
6–8th
Give students a general rule (e.g., “All mammals have hair”) and then a focused lesson on just one type (e.g., whales).
9–12th
Challenge students to write a short training script for a chatbot focused on a school subject. Then discuss how fine-tuning works behind the scenes in platforms like Vervotex to make tutoring feel personalized and relevant.
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