Cost-Effective Labeling
Daniel discusses the impact of spontaneous speech datasets on how users interact with voice assistants, highlighting a shift from robotic to more natural communication. David reveals a significant cost reduction in data labeling, dropping from an estimated $5 million to just $3,000 through innovative use of semi-supervised learning, paving the way for more accessible AI projects.In this clip
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The AI Podcast
MLCommons’ David Kanter, NVIDIA’s Daniel Galvez on Publicly Accessible Datasets - Ep. 167
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