Democratizing Machine Learning
The discussion highlights the critical role of large datasets in advancing machine learning, emphasizing the need for open-access resources. The people speech dataset, with its 30,000 hours of labeled audio, stands out as a landmark resource that allows commercial usage, paving the way for improved speech recognition models. The vision of ML Commons aims to replicate the success of imagenet in new domains, fostering collaboration across the AI community.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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