The Best of 2024 (so far) with Sarah Guo and Elad Gil
No Priors: Artificial Intelligence | Technology | Startups
Enhancing the AI lifecycle through data quality and system measurement
Enhancing the AI lifecycle involves ensuring data abundance and quality, measuring AI systems which builds confidence, enables further development and adoption. Evaluation and measurement of AI systems are crucial for building trust in society, ensuring safety, security, and effectiveness for consumers and organizations. Grading AI systems is challenging due to the complexity of approximating human intelligence.
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