Inference on the BLIMP dataset is the method of utilizing a pre-trained mannequin to make predictions on new information. The BLIMP dataset is a large-scale dataset of photographs and captions, and it’s usually used to coach fashions for picture captioning, visible query answering, and different duties. To do inference on the BLIMP dataset, you will have to have a pre-trained mannequin and a set of recent photographs. You may then use the mannequin to generate captions or reply questions for the brand new photographs.
Inference on the BLIMP dataset may be helpful for quite a lot of duties, comparable to:
