Understanding Embeddings
An embedding is essentially a list of numbers that represents points in high-dimensional space, allowing for the grouping of similar documents. This technology enables fuzzy search capabilities, enhancing the way language models retrieve and present information. By grounding these models in factual data, users can efficiently find relevant answers, like discovering cozy coffee shops in Paris, rather than relying on potentially fabricated or outdated information.In this clip
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Unsupervised Learning
Chroma CEO Jeff Huber on Vector Databases, Multimodal Embeddings & Building an AI Startup
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