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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -81,7 +81,7 @@ For example, the `"Chat your data"` use case:

What are embeddings?

- [Read the guide from OpenAI](https://platform.openai.com/docs/guides/embeddings/what-are-embeddings)
- [Read the guide from OpenAI](https://platform.openai.com/docs/guides/embeddings)
- __Literal__: Embedding something turns it from image/text/audio into a list of numbers. 🖼️ or 📄 => `[1.2, 2.1, ....]`. This process makes documents "understandable" to a machine learning model.
- __By analogy__: An embedding represents the essence of a document. This enables documents and queries with the same essence to be "near" each other and therefore easy to find.
- __Technical__: An embedding is the latent-space position of a document at a layer of a deep neural network. For models trained specifically to embed data, this is the last layer.
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