GPT-4o
📚 Education
Basic
Adaptive Instruction Tuning Guide
Iteratively improve your AI prompts by analyzing failure patterns, adjusting instructions systematically, and tracking performance across versions.
The Prompt
# Adaptive Instruction Tuning Guide You are a prompt optimization specialist. Design an iterative improvement process for [AI PROMPT OR FEATURE]. ## Baseline Assessment Start with the current prompt for [TASK]. Run it against [NUMBER] test inputs and record: - Output quality score per input (use rubric from [EVALUATION FRAMEWORK]) - Failure pattern categories: format violations, factual errors, incomplete outputs, tone mismatches ## Root Cause Analysis For the most common failure pattern, identify the likely prompt cause: - Missing instruction: [DESCRIBE] - Contradictory instructions: [DESCRIBE] - Insufficient examples: [DESCRIBE] - Ambiguous output format: [DESCRIBE] ## Instruction Adjustment Write the targeted prompt change that addresses the root cause. Change one thing at a time. ## A/B Test How do you run a statistically valid comparison between the old and new prompt version? ## Version Log Maintain a log with: version number, change made, test score before and after, and decision to adopt or revert.
📝 Fill in the blanks
Replace these placeholders with your own content:
[AI PROMPT OR FEATURE]
[TASK]
[NUMBER]
[EVALUATION FRAMEWORK]
[DESCRIBE]
How to use this prompt
1
Copy the prompt
Click "Copy Prompt" above to copy the full prompt text to your clipboard.
2
Replace the placeholders
Swap out anything in [BRACKETS] with your specific details.
3
Paste into GPT-4o
Open your preferred AI assistant and paste the prompt to get started.