AI Research Frustrations
Daniel and Lukas discuss the frustrations of AI research in the early 2000s, including the challenges of working with random data sets and the impact of human error in labeling. Lukas's experience with word sense disambiguation highlights the need for better data set creation methods, leading to the inception of crowdflower.In this clip
From this podcast
The Gradient
Lukas Biewald: Crowdsourcing at CrowdFlower and ML Tooling at Weights & Biases
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