Diversity-Accuracy trade-off

What is the trade-off between diversity and accuracy in the context of beam search?

Intermediate

Machine Learning


Let’s delve into the trade-off between diversity and accuracy in the context of beam search:

Diversity

Accuracy

Trade-off Analysis

Finding the Balance

Summary

In beam search, the beam width parameter directly impacts the balance between diversity and accuracy. A larger beam width increases diversity but might compromise accuracy, while a smaller width enhances accuracy but could limit diversity. The selection of the beam width involves finding the sweet spot that best aligns with the desired output quality and diversity while considering computational constraints.