Beam Search vs Viterbi Algorithm

Developers should learn beam search when working on sequence generation problems where exhaustive search is computationally infeasible, such as in neural machine translation models (e meets developers should learn the viterbi algorithm when working on projects involving probabilistic models, such as natural language processing (e. Here's our take.

Beam Search

Nice Pick

Developers should learn beam search when working on sequence generation problems where exhaustive search is computationally infeasible, such as in neural machine translation models (e

Pros

• g
• Related to: natural-language-processing, sequence-to-sequence-models

Cons

• Specific tradeoffs depend on your use case

Viterbi Algorithm

Developers should learn the Viterbi algorithm when working on projects involving probabilistic models, such as natural language processing (e

Pros

• g
• Related to: hidden-markov-model, dynamic-programming

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use Beam Search if: You want g and can live with specific tradeoffs depend on your use case.

Use Viterbi Algorithm if: You prioritize g over what Beam Search offers.

The Bottom Line

Beam Search wins

Developers should learn beam search when working on sequence generation problems where exhaustive search is computationally infeasible, such as in neural machine translation models (e