Token Optimization
Techniques and strategies aimed at reducing prompt and completion token counts to lower latency and operational costs.
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Related terms
The process of systematically improving prompts to increase the quality, consistency, efficiency, or reliability of AI model outputs.
Prompt CompressionA technique for reducing the size of a prompt while preserving the information needed for an AI model to produce the desired output.
Context OptimizationThe process of improving the selection, organization, and delivery of context to maximize model accuracy, relevance, and efficiency.
Token MonitoringThe tracking and analysis of token usage and consumption patterns to manage costs and performance.
Cost OptimizationThe process of reducing infrastructure, model, and operational costs while maintaining or improving application performance, reliability, and quality.