Unit 6: Advanced Features & Testing
Teaching an AI Model
To make an AI useful, you have to **train** it. This means you give it examples of **input** and the corresponding **output** you want it to produce. The more data you give it, the better it gets at finding patterns and making accurate predictions.
For example, you could train an AI model to predict a country’s population based on its land area and capital city. Once trained, you can give it new data and it will predict the population.
Interactive Activity: Train a Simple AI
In this activity, you’ll “train” a simple AI to learn word associations. Enter a word and its associated emotion, then click “Train Model.” After training it with a few examples, you can enter a new word and see if the model predicts the correct emotion.
Train the Model
Make a Prediction
Interactive Quiz: Test Your Knowledge
Answer these questions to test your understanding of AI models.
Your Mission
If your project is complex enough, think about what kind of data you would need to collect and “train” an AI model. What kind of problem would your model solve for your users?
