
Are Emergent Behaviors in LLMs an Illusion? with Sanmi Koyejo - #671
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Importance of Real-World Relevance in Model Testing
Tests for models should focus on interactions that mimic real-world scenarios like decision making or bias detection to ensure relevance. Addressing issues such as bias, security, and privacy leakage in model outputs should be prioritized. However, a significant challenge lies in achieving adequate test coverage, which may require innovative solutions or scaling up the number and scope of tests conducted.
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