Systems, Data, and Machine Learning for Visual Understanding

Cody Coleman, the CEO and co-founder of Coactive AI, is with us today. We talk about how Coactive has delivered its multimodal asset platform and visual search capabilities by utilizing contemporary data, systems, and machine learning techniques in our interview with Cody. We delve into strategies like active learning and core set selection and how they can lead to increased efficiency across the machine learning lifecycle as Cody shares his knowledge in data-centric AI. We discuss the infrastructure optimizations Coactive has made in order to grow their systems, and we examine the different ways they leverage multimodal embeddings to allow their main visual search experience. Finally, Cody offers some guidance to engineers and business owners who are starting enterprises centered around generative AI technology.

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