How can a neural reranker improve generative AI response accuracy

Question

Can you tell me How can a neural reranker improve generative AI response accuracy?

Answer 1

You can improve generative AI response accuracy by using a neural reranker that scores multiple candidate responses and selects the most relevant one.
Here is the code snippet below:

In the above code we are using the following key points:

• Fine-tuning a BERT-based reranker model to score relevance between query and candidates

• Tokenizing and scoring each candidate relative to the query

• Selecting the highest scoring candidate as the output

Hence, neural rerankers refine generative AI outputs by prioritizing relevance and context matching more effectively.