Definition
Strategies and techniques employed to reduce the expenditure associated with using AI models, particularly large language models, without significantly compromising desired outcomes.
Why it matters (in Poovi’s context)
Essential for making AI applications scalable and economically viable, especially when dealing with high volumes of tasks or complex computations.
Key properties or components
- Model selection
- Token management
- Efficient processing
- Resource allocation
Contradictions or debates
None.