A sugar cookie is...
Embedding model
-0.011 -0.011 0.021 ... -0.011
Transcription text
Text as a vector
Explanation
The image describes the process of converting text into a vector representation using an embedding model. The input text "A sugar cookie is..." is passed through an embedding model, which transforms it into a numerical vector consisting of floating point numbers such as -0.011, -0.011 and 0.021. This allows the text to be processed and understood by machine learning algorithms.