Understanding Embeddings
Embeddings serve as a bridge between natural language and numeric representation, allowing machines to understand complex concepts. By utilizing high-dimensional spaces, machines can perform tasks like semantic search and answer questions with greater precision. The transition from two to thousands of dimensions enhances the granularity of understanding, enabling powerful applications in generative AI.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
785: Math, Quantum ML and Language Embeddings — with Dr. Luis Serrano (@SerranoAcademy)
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