Emma
Summary:
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OpenAI's GPT-4 has reportedly scored high on professional licensing exams, raising questions about its impact on professionals like lawyers.
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However, concerns arise about the model's training data contamination and the validity of using human-designed tests to evaluate bots.
Key terms:
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Training data contamination: The issue where AI models may memorize solutions from their training set, possibly affecting their test results
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Codeforces: A website hosting coding competitions, used by OpenAI to evaluate GPT-4's coding abilities
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Construct validity: The degree to which a test measures what it claims to measure, which is questioned when applying human-designed tests to AI models
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Real-world tasks: The actual tasks professionals perform in their jobs, which should be the focus of AI evaluation instead of standardized tests
Tags:
ChatGPT
OpenAI
GPT-4
Tools
GPT-3
AI comparison
Memorization
Construct Validity
AI evaluation
Codeforces