Metric Theater Insights
Tim and Yasaman discuss the pitfalls of relying solely on metrics in machine learning, cautioning against overestimating model capabilities based on surpassing human performance. Sameer emphasizes the importance of understanding how models work and the need to address the gap between claimed and actual capabilities in AI systems.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#73 - YASAMAN RAZEGHI & Prof. SAMEER SINGH - NLP benchmarks
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