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PRO Session: Embeddings: Core Concepts for Developers
Thursday February 13, 2025 3:00pm - 3:25pm PST
AI DevWorld Main Stage
Jocelyn Matthews, Pinecone, DevRel, Head of Community

If you had a collection of every kind of animal on earth, from mules to narwhals to goldfish, how would we pick out just the animals that are housepets? And how does AI distinguish between a pack mule and a Moscow Mule?

Embeddings are numerical representations that capture the essential features and relationships of discrete objects, like words or images, in a continuous vector space, enabling tasks such as semantic search, clustering, and recommendations.

This is a dense but entertaining talk about the core concepts of embeddings, ranging from multidimensional vector space to the ever-familiar box of crayons we used as kids. The presentation will cover fundamental concepts, including how embeddings represent various data types, the importance of context sensitivity, and between dimensionality.

The talk introduces specialized terms and breaks them down into simple, everyday examples to help learners relate difficult concepts to familiar things. Then, we build back up to the specialized terms to deepen understanding.

Attendees will gain a clear understanding of how embeddings work, their benefits, and why they are leveraged in machine learning tasks
Speakers
avatar for Jocelyn Matthews

Jocelyn Matthews

DevRel, Head of Community, Pinecone
Jocelyn Matthews works at Pinecone, where she is responsible for building and nurturing the technical community. Her focus is to grow a vibrant ecosystem to which everyone brings their best selves. Jocelyn is a former Rosberg-Geist Fellow at the Center for African Studies at UC Berkeley... Read More →
Thursday February 13, 2025 3:00pm - 3:25pm PST
AI DevWorld Main Stage
  AI DevWorld

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