Public Benchmarks vs Private Evals: Why You Need Both

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ethics-safety-AI-evals-public-private-adults

1. What is the core idea behind "Public Benchmarks vs Private Evals: Why You Need Both"?

   1. Public AI benchmarks (MMLU, HumanEval, etc.) tell you general capability. Private evals on your data tell you actual production fit. The smart teams maintain both.
   2. Treat AI like a stranger at a store
   3. Define the task scope — a customer-service bot and a hiring tool need different …
   4. Don't fake a scary voicemail to a friend with AI.

2. Which term best describes a foundational idea in "Public Benchmarks vs Private Evals: Why You Need Both"?

   1. private evals
   2. benchmarks
   3. model selection
   4. regression testing

3. A learner studying Public Benchmarks vs Private Evals: Why You Need Both would need to understand which concept?

   1. benchmarks
   2. model selection
   3. private evals
   4. regression testing

4. Which of these is directly relevant to Public Benchmarks vs Private Evals: Why You Need Both?

   1. benchmarks
   2. private evals
   3. regression testing
   4. model selection

5. Which of the following is a key point about Public Benchmarks vs Private Evals: Why You Need Both?

   1. Maintain a private eval suite covering your specific use cases, edge cases, and adversarial scenario…
   2. Run new model versions through your private evals before deployment (don't trust vendor benchmarks a…
   3. Track eval performance over time to detect drift
   4. Use eval failures to improve prompts, retrieval, or model choice

6. Which of these does NOT belong in a discussion of Public Benchmarks vs Private Evals: Why You Need Both?

   1. Maintain a private eval suite covering your specific use cases, edge cases, and adversarial scenario…
   2. Run new model versions through your private evals before deployment (don't trust vendor benchmarks a…
   3. Track eval performance over time to detect drift
   4. Treat AI like a stranger at a store

7. Which statement is accurate regarding Public Benchmarks vs Private Evals: Why You Need Both?

   1. Generalize eval results to scenarios not represented in the eval set
   2. Make evals exhaustive — they're a representative sample, not full coverage
   3. Substitute private evals for production monitoring (different signal)
   4. Treat AI like a stranger at a store

8. What is the key insight about "Private eval suite design" in the context of Public Benchmarks vs Private Evals: Why You Need Both?

   1. Treat AI like a stranger at a store
   2. Define the task scope — a customer-service bot and a hiring tool need different …
   3. Don't fake a scary voicemail to a friend with AI.
   4. Design a private eval suite for [our AI deployment]. Cover: (1) representative coverage (real production traffic samples…

9. What is the key insight about "Benchmark gaming is real" in the context of Public Benchmarks vs Private Evals: Why You Need Both?

   1. Vendor benchmarks have been demonstrated to be gameable through training-data inclusion.
   2. Treat AI like a stranger at a store
   3. Define the task scope — a customer-service bot and a hiring tool need different …
   4. Don't fake a scary voicemail to a friend with AI.

10. Which statement accurately describes an aspect of Public Benchmarks vs Private Evals: Why You Need Both?

    1. Treat AI like a stranger at a store
    2. Public benchmarks are necessary but insufficient; private evals on representative production data are what actually predict deployment succe…
    3. Define the task scope — a customer-service bot and a hiring tool need different …
    4. Don't fake a scary voicemail to a friend with AI.

11. Which best describes the scope of "Public Benchmarks vs Private Evals: Why You Need Both"?

    1. It is unrelated to ethics-safety workflows
    2. It applies only to the opposite beginner tier
    3. It focuses on Public AI benchmarks (MMLU, HumanEval, etc.) tell you general capability. Private evals on your data
    4. It was deprecated in 2024 and no longer relevant

12. Which section heading best belongs in a lesson about Public Benchmarks vs Private Evals: Why You Need Both?

    1. Treat AI like a stranger at a store
    2. Define the task scope — a customer-service bot and a hiring tool need different …
    3. Don't fake a scary voicemail to a friend with AI.
    4. What AI does well here

13. Which section heading best belongs in a lesson about Public Benchmarks vs Private Evals: Why You Need Both?

    1. What AI cannot do
    2. Treat AI like a stranger at a store
    3. Define the task scope — a customer-service bot and a hiring tool need different …
    4. Don't fake a scary voicemail to a friend with AI.

14. Which of the following is a concept covered in Public Benchmarks vs Private Evals: Why You Need Both?

    1. private evals
    2. benchmarks
    3. model selection
    4. regression testing

15. Which of the following is a concept covered in Public Benchmarks vs Private Evals: Why You Need Both?

    1. benchmarks
    2. model selection
    3. private evals
    4. regression testing