Term
Greedy Decoding
Definition
Greedy Decoding is a method used in AI where a model picks the most likely next piece of information (token) each time it adds something new to what it's generating. It consistently chooses the safest and most obvious choice when creating a sentence or a sequence in a computer program.
Where you’ll find it
This method is common in AI systems, especially in text generation or natural language processing tools. It is a basic feature found in many AI platforms that handle language tasks.
Common use cases
- Generating text automatically, such as creating written reports or answering questions in a chatbot.
- Translating languages when a straightforward and quick response is needed.
- Speech recognition systems that quickly convert spoken words to text.
Things to watch out for
- It tends to repeat more common phrases and might overlook more creative or varied expressions.
- Sometimes the results can feel less natural because it always picks the most likely option instead of mixing things up.
- It is not ideal for tasks requiring highly diverse or creative text outputs.
Related terms
- Token
- Natural Language Processing (NLP)
- Beam Search
- Model Decoding
- Sequence Generation