Definition
Token optimisation refers to the strategic process of reducing the number of tokens sent to or received from a large language model, without compromising the quality, accuracy, or completeness of the required information. This can involve techniques like summarisation, structured prompting, or efficient data representation.
Why it matters (in Poovi’s context)
Essential for reducing operational costs, improving response times, and enhancing the overall efficiency and scalability of AI applications, particularly for complex AI agent workflows.
Key properties or components
- Cost reduction
- Speed improvement
- Resource efficiency
- Maintaining output quality
Contradictions or debates
None.