Greedy Decoding
Greedy Decoding is a sequence generation method where the model always selects the single token with the highest predicted probability at each step during output text generation.
Frequently Asked Questions
What is the equivalent temperature parameter for greedy decoding?▼
Setting the Temperature parameter to 0 forces the model to use greedy decoding.
What is a drawback of greedy decoding?▼
It can get stuck in repetitive generation loops and lacks the creativity of sampling methods.
Quick Facts
- CategoryModel Operations
- Key ApplicationDeterministic text outputs, programming code generation, and structured API JSON output runs.
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