Generative AI outputs require more than just model parameters; the choice of decoding method is crucial for achieving high-quality, human-like results. While greedy search is the simplest method, it often overlooks high-probability words. Beam search improves upon this by looking ahead and trying multiple options, but it can lead to repetitive sequences, prompting the need for alternative sampling techniques.
