AI Optimization

Definitions

1. The process of improving an AI system's quality, latency, cost, or reliability through changes to prompts, models, retrieval, infrastructure, or evaluation. AI optimization is rarely about a single knob because multiple constraints usually trade off against each other.

   In plain English: Improving an AI system so it performs better or costs less.

   Example: "Their biggest AI optimization win came from shortening retrieved context instead of switching models."

Related Terms

• StormForge
• AI Cache
• AI Efficiency
• AI Performance
• AI Speed
• AI Tuning
• GPU Utilization
• Inference Optimization
• Inference Speed
• LLM Optimization
• LLM Throughput
• Model Optimization
• Neural Network Pruning
• Penalty
• Prompt Optimization
• Score Function
• Throughput AI