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Toward comprehensive benchmarking of the biological knowledge of frontier large language models

(최첨단 대규모 언어 모델의 생물학적 지식에 대한 포괄적 벤치마킹을 향하여)

목차

About This Report iii

Summary v

Figures and Tables viii

Chapter 1 Motivation 1

Intersection of AI with Biological and Chemical Threats 1

Organization of This Report 3

Chapter 2 Methods 5

Model Selection 5

Benchmark Selection 6

Supplemental Human Expert Baselining of WMDP 9

Technical Implementation 10

Chapter 3 Results and Discussion 14

Refusal Benchmarks14

Biology Knowledge Benchmarks Overview 16

Knowledge Benchmarks and Expert Baselines 17

WMDP Biology Saturation 26

Chapter 4 Challenges and Proposed Solutions 28

Challenge: Benchmarks Without Baselines Are Difficult to Interpret 28

Challenge: Existing Benchmarks Do Not Tie Neatly to Real-World Risks 29

Challenge: Minor Implementation Details Can Lead to Different Results 32

Chapter 5 Conclusion 35

Appendix A Benchmark Performance Data Visualizations 36

Appendix B Benchmark Details 38

Appendix C Model Details 44

Appendix D Evaluation Prompt Templates 46

Abbreviations 50

References 51

About the Authors 57

해시태그

#대규모언어모델 #LLM #생물학지식 #AI위험 #인공지능 #생물안보 #기술혁신

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AI 100자 요약·번역서비스

인공지능이 자동으로 요약·번역한 내용입니다.

Toward comprehensive benchmarking of the biological knowledge of frontier large language models

(최첨단 대규모 언어 모델의 생물학적 지식에 대한 포괄적 벤치마킹을 향하여)