Expressing Data Desires through Vectors // Daniel Svonava // MLOps podcast #214 clip

MLOps podcast #214 with Daniel Svonava, CEO & Co-founder at Superlinked, Information Retrieval & Relevance: Vector Embeddings for Semantic Search

Daniel Svonava, co-founder and CEO of Superlinked, discusses the complexities of taking machine learning models from development to production. Daniel delves into the intricacies of working with vector compute, expressing desires in the language of different properties, and navigating the challenges of getting models to production.

// Abstract
In today's information-rich world, the ability to retrieve relevant information effectively is …

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