I have a suggestion to improve TTTC. After classifying the input with LLM, if we concatenate the embedding of the classification with the embedding of the original sentence and UMAP, we can get a nice diagram with separated clusters.

Processing in abstract high-dimensional space and visualizing it in two dimensions are two different requirements

Do you really want to be two-dimensional? Should observe Turbo prompts.

To prepare for the possibility of radical change, practice in advance assuming that radical change has already occurred.


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