Term
Greedy Search
Definition
Greedy Search is a method used in AI to select the likeliest option at each step during a process. It focuses on making the optimal choice in the moment, rather than considering the overall best series of choices.
Where you’ll find it
In AI, Greedy Search appears in language models during text generation. It's typically part of the algorithmic choices in settings or tools where decision-making processes are automated. This method can be found across various AI platforms, especially in those involving natural language processing (NLP).
Common use cases
- Quickly generating text predictions where speed is more critical than perfect accuracy.
- Simplifying decision-making in AI models to streamline the development process.
- Implementing in systems where computational resources are limited and a more extensive, complex search is not feasible.
Things to watch out for
- It may not always provide the best long-term results since it opts for immediate payoffs.
- It can lead to repetitive or less diverse output due to its preference for the highest probability option.
- This method is not ideal for tasks requiring a deep understanding of context or more creative outcomes.
Related terms
- Beam Search
- Token
- Natural Language Processing (NLP)
- Algorithm
- Model