AI Supervision 8. GPT vs. Claude? Stop Guessing: Precision Model Comparison & Trend Analysis
- TecAce Software
- 3 days ago
- 2 min read
"I tweaked the prompt, but now the answers feel weird."
"I want to switch to a cheaper model, but I'm scared the quality will drop."
AI development is a constant series of Trade-offs. You have to decide whether to switch models, adjust prompts, or tune RAG settings. However, looking at just the "Average Score" hides the critical details necessary for these decisions.
Use AI Supervision's Detailed Analysis & Comparison features to put your model under a microscope and see exactly what changed and why.
1. Avoiding the Average Trap with Drill-down Analysis
A 90% overall score doesn't mean everything is perfect. It could mean 9 questions were perfect, and 1 was a disaster. AI Supervision allows you to drill down into individual Test Cases (Question-Answer pairs) after an evaluation run.
Identify Bad Cases: Filter and focus solely on the bottom 20% of responses with low scores.
Root Cause Analysis: Analyze exactly why a specific question triggered a "Hallucination" alert by cross-referencing the generated answer against the source documents.
2. A/B Testing & Model Comparison
How do you prove the difference when you change your prompt from "Friendly" to "Professional," or switch from GPT-4 to Claude 3?
Side-by-Side View: Compare the results of two different evaluation runs directly next to each other.
Detect Nuances: See specifically where Model A outperformed Model B and vice versa. This granular comparison helps you find the optimal configuration for your specific use case.
3. Tracking Metric Trends
AI services are dynamic; they change over time. An answer that was correct yesterday might break today (Regression).
Time-Series Analysis: Visualize trends in Accuracy, Faithfulness, and Security violations over weeks or months.
Prevent Degradation: Catch performance dips instantly via trend graphs, giving you the "Golden Time" to rollback or retune before your users notice.
Conclusion: No Improvement Without Analysis
Don't optimize based on gut feelings. Use AI Supervision to compare data before and after changes, and make "Better Choices" backed by hard numbers.
Amazon Matketplace : AI Supervision Eval Studio
AI Supervision Eval Studio Documentation
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