Greedy selection, sampling, beam search, and constrained decoding explore the probability distribution differently. The choice affects determinism, diversity, latency, and adherence to output restrictions.
A decoding strategy is the procedure used to turn model output scores into a sequence or structured prediction.
Greedy selection, sampling, beam search, and constrained decoding explore the probability distribution differently. The choice affects determinism, diversity, latency, and adherence to output restrictions.