Information Retrieval & Relevance // Daniel Svonava // MLOps Podcast #214

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

// Abstract
In today's information-rich world, the ability to retrieve relevant information effectively is essential. This lecture explores the transformative power of vector embeddings, revolutionizing information retrieval by capturing semantic meaning and context. We'll delve into:
- The fundamental concepts of vector embeddings and their role in semantic search
- Techniques for creating meaningful vector representations of text and data …

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