Embeddings: How Computers Learned to Read - Liam Bluett (Pycon AU 2024) @PyConAU
Embeddings: How Computers Learned to Read - Liam Bluett (Pycon AU 2024)  @PyConAU
Uploaded November 2024 | Updated September 2026, 38 minutes ago
(Liam Bluett) As large language models take over the world, we’re now working alongside machines that can read, write and converse – coding with CoPilot, chatting with ChatGPT and drawing with DALL-E. But how do machines, which fundamentally operate on binary code, achieve such remarkable feats? The answer lies in embeddings. Embeddings allow us to represent complex data - whether it's text, images, or even abstract concepts - as dense vectors of numbers. In this presentation, we'll demystify embeddings and give you a practical and intuitive understanding of how they work.

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Sat Nov 23 11:20:00 2024 at Eureka 2
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"Embeddings: How Computers Learned to Read" - Liam Bluett (Pycon AU 2024)

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