Evaluating AI in Healthcare
The deployment of language models in healthcare and education raises important questions about their readiness for real-world applications. Specific domains present unique challenges that general-purpose evaluations may not address, particularly concerning potential harm. In healthcare, the consequences of incorrect recommendations can be fatal, while educational settings require careful consideration of societal norms and regulations. The goal is to develop a comprehensive suite of evaluation tests tailored to the context of use.In this clip
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Are Emergent Behaviors in LLMs an Illusion? with Sanmi Koyejo - 671
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