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From Tokens to Vectors: The Efficiency Hack That Could Save AI (Ep. 294)

Data Science at Home

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How CALM compresses tokens with an autoencoder

Francesco describes the encoder that squashes four tokens into one vector and the decoder that reconstructs tokens with high fidelity.

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