Building Your Own Evaluation Framework

피파 한 줄 정리: Public benchmark 말고 *personal benchmark*. Use case × prompt × scoring 가중치 → 새 모델마다 같은 set으로 돌려. 시간 갈수록 가치 compound 돼.

Public benchmarks tell you which model is "best" on average for average tasks. Your evaluation framework tells you which model is best for you, on your tasks, with your budget. It's the difference between asking "what's the best restaurant in the city?" and "what's the best restaurant for a Tuesday lunch meeting with vegetarian clients near my office under $30/person?" The second question has a clear, useful answer.

Designing Your Personal Benchmark

Your benchmark should reflect your actual work. Here's how to build one:

Step 1: Define your use cases. List the 3–5 types of images/videos/audio you create most often. Be specific: "YouTube thumbnail with expressive face and bold text," not "images."

Step 2: Create representative prompts. Write 4–5 prompts per use case that represent the range of what you typically need. Include easy prompts (single subject, simple background) and hard ones (multi-character, specific text, complex composition).

Step 3: Define your scoring criteria. What matters most for each use case? Thumbnails care about legibility at small size. Character art cares about consistency. Product viz cares about accuracy.

Step 4: Run and score. Generate each prompt on each model, score according to your criteria, and record results.

Maintaining Your Framework

Your framework isn't a one-time project — it's a living document:

Test quarterly — or whenever a major model update launches.
Add new use cases as your work evolves.
Archive old results to track improvement trends over time.
Update criteria if you discover new factors that matter (e.g., "editing compatibility" might become important as your workflow matures).

Key Takeaways

Build a personal benchmark with your actual use cases, representative prompts, and weighted scoring criteria.
Run the same benchmark on every model you evaluate for honest, comparable results.
Maintain and update the framework quarterly — it compounds in value as you accumulate data.
Your personal benchmark is more useful than any public leaderboard because it tests what you actually need.

Code

예시 코드·python

# Personal evaluation framework template
evaluation = {
    "use_cases": {
        "youtube_thumbnails": {
            "prompts": [
                "Close-up of surprised man, text 'WOW' in bold",
                "Split composition: before/after, tech product",
                "Dramatic portrait with dark background, clean text area",
                "Energetic scene with bright colors, readable at 120px"
            ],
            "criteria": {
                "text_accuracy": 3,     # weight (1-3)
                "face_expression": 3,
                "small_size_legibility": 3,
                "text_zone_clarity": 2,
                "aesthetic_appeal": 1
            }
        },
        "character_illustration": {
            "prompts": [
                "Fantasy warrior, front view, neutral pose, white bg",
                "Same character, action pose, forest setting",
                "Same character, portrait close-up, warm lighting",
                "Same character, full body, different outfit"
            ],
            "criteria": {
                "character_consistency": 3,
                "anatomy_accuracy": 3,
                "style_coherence": 2,
                "detail_quality": 2,
                "editability": 1
            }
        }
    },
    "models_tested": ["GPT-Image 1.5", "Midjourney v7", "FLUX.2"],
    "test_date": "2026-04-01",
    "results": {}  # Fill with scores after testing
}

Designing Your Personal Benchmark

Maintaining Your Framework

Code

External links

Exercise

Progress

댓글 0