{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/3a7b04257fea4fd49d2cae249161840b\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/3a7b04257fea4fd49d2cae249161840b-1692886541813.gif","duration":242.769,"title":"Divide and Conquer Approach","description":"In this video, I explain the divide-and-conquer approach for discovering intents. Starting from a higher level concept, I demonstrate how to break down a broad topic into more specialized intents. Using labeled data, I focus on the problem of users being charged twice for their subscription and the issue of users forgetting their username. By clustering and sorting, I identify relevant examples and label the data accordingly. This approach allows for efficient intent discovery and can be applied recursively for further breakdowns."}