Data, Systems and ML for Visual Understanding with Cody Coleman - #660
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Navigating Weak Supervision in Visual Data
This chapter explores the intricacies of weak supervision and semi-supervised learning within the context of visual data, addressing the challenges of programmatic labeling. It emphasizes the significance of active learning and the role of embeddings in handling large datasets, contrasting traditional methods with innovative techniques that leverage large language models. The discussion further delves into multimodal embeddings and their applications, offering insights into enhancing machine learning processes through more agile approaches.
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