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 pictures and captions, and it’s typically used to coach fashions for picture captioning, visible query answering, and different duties. To do inference on the BLIMP dataset, you have to to have a pre-trained mannequin and a set of latest pictures. You may then use the mannequin to generate captions or reply questions for the brand new pictures.
Inference on the BLIMP dataset could be helpful for quite a lot of duties, corresponding to:
