Data, Systems and ML for Visual Understanding with Cody Coleman - #660
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
The Role of Embeddings in Active Learning and Multimodal Embeddings
Embeddings play a crucial role in active learning as it addresses the challenge of big data by using generic representations to cluster unseen concepts in an embedding space. This allows for local search and expansion, making active learning more efficient and scalable. Multimodal embeddings are specifically used to transition from one modality to another, such as from text to images, enabling tasks like finding relevant images based on a text prompt or determining associations with a specific class.
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