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The Importance of Effectively Experimenting in an AI PhD • David Stutz

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Engineering and running experiments are a key component of most PhDs in AI. While there are plenty of more theoretical topics that are often limited to smaller scale experimentation, the trend has definitely been to scale up models, datasets and experiments. Thus, being an effective engineer and setting up experiments in an efficient way can be a crucial element of being successful during a PhD. In this article, I want to share some lessons I learned on effective experimentation. When working in AI, especially when doing an empirical PhD, the engineering required for effective experimentation is incredibly important. I procrastinated on writing this article for a while now, but it is getting more and more apparent these days when a large portion of research shifted to working with large foundation models. But even ~7 years ago, when I started my PhD, I quickly realized that running experiments effectively will be crucial. This is because effective experimentation means that research hy

The Importance of Effectively Experimenting in an AI PhD • David Stutz I AM DAVID STUTZ ABOUT PROJECTS BLOG ABOUT PROJECTS BLOG JULY2024 ARTICLE The Importance of Effectively Experimenting in an AI PhD ACADEMIA CAREER DEEP LEARNING MACHINE LEARNING PYTHON Engineering and running experiments are a key component of most PhDs in AI. While there are plenty of more theoretical topics that are often limited to smaller scale experimentation, the trend has definitely been to scale up models, datasets and experiments. Thus, being an effective engineer and setting up experiments in an efficient wa

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