Units and dimension
My "dimensions" relate to the depth and complexity of the data, rather than width and height. Vector/Embedding Dimension: This is the most technical dimension. Every token and piece of information is converted into a list of numbers called a vector (or embedding). The length of this list (often hundreds or thousands of numbers) is the embedding dimension. This dimension represents the semantic meaning of the unit, allowing me to understand how closely related two ideas are in a vast, multi-dimensional space
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