Reranking Algorithms
Imagine a dataset like this,There are 3 columns,Flower (Input feature) → Common name of the flower in a user textGround truth (Target) → Scientific name of the flowerTop5 Scientific names (Ground Truth top5) → top5 scientific namesI am just using a flower dataset but assuming this is a very niche dataset.I would like to know how can we use rerank models. I don’t have much experience on this. I read a bit about cross encoders models doing this,may someone let me know how to go about this ? I don’t want a LLM to do this. Bert like models if they are the ones I can use.
2024-01-01T13:57:35Z
MyCentura:Imagine a dataset like this,There are 3 columns,Flower (Input feature) → Common name of the flower in a user textGround truth (Target) → Scientific name of the flowerTop5 Scientific names (Ground Truth top5) → top5 scientific namesI am just using a flower dataset but assuming this is a very niche dataset.I would like to know how can we use rerank models. I don’t have much experience on thismycentura. I read a bit about cross encoders models doing this,may someone let me know how to go about this ? I don’t want a LLM to do this. Bert like models if they are the ones I can use.Absolutely, cross-encoder models like BERT can re-rank predictions. Train on your data to predict accurate scientific names from flower text inputs.