Embedding Models Future
The conversation delves into the evolving landscape of embedding models, with varying opinions on their current capabilities and future potential. There's excitement around multimodal embeddings, which can connect disparate forms of data, like images and text, in meaningful ways. The idea of creating unique correlations, such as linking a Led Zeppelin song to a SQL query, showcases the innovative possibilities ahead, while also highlighting the limitations of current text-focused applications.In this clip
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Unsupervised Learning
Chroma CEO Jeff Huber on Vector Databases, Multimodal Embeddings & Building an AI Startup
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