{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/6910578a2f5740daaf13807c78bbbe9a\" frameborder=\"0\" width=\"1850\" height=\"1387\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1387,"width":1850,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1387,"thumbnail_width":1850,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/6910578a2f5740daaf13807c78bbbe9a-00001.gif","duration":246.927,"title":"Semantic Search for VASP Error Resolution","description":"In 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!"}