Prompt Optimization Experiments

Karini AI’s Automatic Prompt Optimization (APO) feature allows users to optimize prompts for any task and dataset—without writing a single line of code. Drawing from recent advancements in prompt optimization, including techniques inspired by gradient descent and beam search, Karini AI’s APO feature is designed to refine vague or underperforming prompts, making them more precise and task-specific. Rather than relying on manual trial-and-error, Karini AI’s APO systematically explores different prompt variations, assesses their performance across multiple models, generates evaluation metrics for each optimization trial, and selects the best-performing candidate—allowing you to focus on outcomes, not iterations. This efficient process ensures that your time is spent productively, leading to better outcomes.