As I sat down to apply for a research internship at Google, I realized I had a great project to showcase – fine-tuning a T5-small model for question generation. But how do I take this project from a simple coding exercise to a structured research experiment worthy of a top tech company? The key lies in highlighting the scientific method behind my work, not just the coding.
In my project, I experimented with different text formatting and tokenization methods, informally noting which changes led to better results. To make it sound like a research experiment, I needed to focus on the process of testing variables and analyzing outputs. It’s not just about the code; it’s about the systematic approach I took to achieve my results.
So, how can you describe your T5 fine-tuning project as a research experiment for a Google application? Here are some tips:
* Emphasize the problem you’re trying to solve and the research question you’re answering.
* Explain your methodology, including the different variables you tested and how you analyzed the outputs.
* Highlight any insights or conclusions you drew from your experiment.
By framing your project in this way, you can showcase your skills as a researcher, not just a coder. And who knows, it might just land you that internship at Google.