Training Your Own Dense Passage Retrieval Model | Haystack - haystack.deepset.ai ![rw-book-cover|200x400](https://readwise-assets.s3.amazonaws.com/static/images/article2.74d541386bbf.png) ## Metadata - Author: **haystack.deepset.ai** - Full Title: Training Your Own Dense Passage Retrieval Model | Haystack - Category: #articles - Tags: #ai - URL: https://haystack.deepset.ai/tutorials/09_dpr_training ## Highlights - DPR is standardly trained using a method known as in-batch negatives. This means that positive contexts for a given query are treated as negative contexts for the other queries in the batch. Doing so allows for a high degree of computational efficiency, thus allowing the model to be trained on large amounts of data.