AI Tuning

Definitions

1. The adjustment of prompts, parameters, retrieval settings, model choices, or fine-tuning configurations to improve AI system behavior. AI tuning is iterative because changes that help one task may hurt another.

   In plain English: Adjusting an AI system to make it behave better.

   Example: "A week of AI tuning improved groundedness more than expected because the main issue was document selection, not model quality."

Related Terms

• AI Efficiency
• AI Optimization
• Inference Optimization
• LLM Optimization
• Model Optimization
• Neural Network Pruning
• Penalty
• Prompt Optimization
• Score Function