For this exercise, I used Google Colab and uploaded the code to run the language modeling section from Chapter 5. The goal was to help the computer learn patterns in text and understand how language works. When I ran the code, I was able to load the dataset and see rows of data like names, age, gender, and other information. This showed me that my code was working and that the data loaded correctly.
After that, I went through the steps to clean and prepare the data so the model could actually use it. This included organizing the data and making it easier for the computer to understand. Seeing the dataset clearly in Colab helped me understand what the model is working with before it even starts learning.
Overall, this exercise helped me better understand how data is loaded, cleaned, and prepared for AI models. It also gave me a better idea of how language modeling works behind the scenes and how computers can learn patterns in text to do things like predict words or generate sentences.
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