video1.0<iframe src="https://www.loom.com/embed/6910578a2f5740daaf13807c78bbbe9a" frameborder="0" width="1850" height="1387" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>13871850Loomhttps://www.loom.com13871850https://cdn.loom.com/sessions/thumbnails/6910578a2f5740daaf13807c78bbbe9a-00001.gif246.927In this video, I explain how we have developed a model to assist users when they encounter errors with VASP, a widely used tool for DFT calculations. I discuss the limitations of the current VASP forum and documentation, and introduce our solution: a semantic search approach. We have created a database using data from the official VASP forum, and our model predicts the top 5 most similar issues and provides brief answers. This saves time and eliminates the need for manual searching. I also mention future extensions, such as adding configuration conversions and fine-tuning the model. Watch the video to learn more!