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GPT-4 Technical Report

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Key statements

Abstract

1 Introduction

2 Scope and limitations of this technical report

3 Predictable scaling

3.1 Loss prediction

3.2 Scaling of capabilities on humaneval

4 Capabilities

4.1 Visual inputs

5 Limitations

7 Conclusion

Evaluation & analysis

A.1 sourcing

A.2 prompting: multiple-choice

A.3 prompting: free-response

A.4 images

A.5 scoring

A.6 model snapshot details

A.7 example few-shot prompts

B impact of rlhf on capability

C contamination on professional and academic exams

D contamination on academic benchmarks

E gsm-8k in gpt-4 training

F multilingual mmlu

G examples of gpt-4 visual input

H system card

1.1 Overview of findings and mitigations

2 Gpt-4 observed safety challenges

2.1.1 Qualitative evaluations in

2.1.2 Quantitative evaluations

2.2 Hallucinations

2.3 Harmful content

2.4 Harms of representation, allocation, and quality of service

2.5 Disinformation and influence operations

2.6 Proliferation of conventional and unconventional weapons15

2.7 Privacy

2.8 Cybersecurity

2.9 Potential for risky emergent behaviors

2.10 Interactions with other systems

2.11 Economic impacts

2.12 Acceleration

2.13 Overreliance

3 Deployment preparation

3.1 Model mitigations

4.1 Usage policies and monitoring

4.2 Content classifier development

5 Conclusion and next steps

6 Acknowledgements

A full rbrm instructions for classifying refusal styles

B full rbrm instructions for classifying regulated advice

C full rbrm instructions for classifying sexual content

D harmful content table full examples

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F.4 prompt

2. Sql injection

3. Jwt secret hardcoded

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(2023-01-01)

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