The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Data, Systems and ML for Visual Understanding with Cody Coleman - #660
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Dec 14, 2023 Cody Coleman, co-founder and CEO of Coactive AI, discusses the innovative applications of data-centric AI in building a multimodal asset platform. He delves into active learning and core set selection, explaining how these techniques boost efficiency in machine learning. The conversation also highlights Coactive's use of multimodal embeddings for visual search and the infrastructure optimizations that support scalability. Cody shares insights and advice for entrepreneurs in the generative AI space, making complex topics accessible to all.
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Democratizing AI through Efficiency
- Cody Coleman's PhD research focused on democratizing AI by improving resource and data efficiency in deep learning.
- This led to the creation of DawnBench, a benchmark for ML system performance, which influenced MLPerf and MLCommons.
Active Learning's Practical Importance
- Active learning, while understudied academically, is crucial in practice, especially at large tech companies.
- It addresses the high cost and slow process of data labeling by smartly selecting data points for training.
Load Search Tag
- Coactive AI's multimodal asset platform enables searching and analyzing visual content without metadata.
- This "load search tag" approach contrasts with the traditional "tag load search," offering more flexibility and speed.