2min chapter

The MaML Podcast - Medicine & Machine Learning cover image

Jerry Liu - Building LlamaIndex, the Data Framework for LLMs

The MaML Podcast - Medicine & Machine Learning

CHAPTER

How to Measure Distance Between Vectors and Embeddings

The closer two vectors and numbers are to each other, the more semantically meaningful they can be. This is kind of a silly example, but is it kind of like a skew numbers on barcodes? I'm not super familiar with barcodes, but yeah, if so like for soap, like the barcodes are close to each other,. Then that's that's kind of one way of looking at it.

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