Data Centric AI
A groundbreaking multilingual spoken word corpus has emerged, marking a significant advancement in open-source datasets for 46 languages. The focus is shifting towards data-centric AI, emphasizing the importance of dataset quality and manipulation in enhancing model accuracy. Looking ahead, there’s a desire to witness innovative applications of these datasets in various fields, from audio denoising to traditional speech recognition.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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