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#2
by
ThiloteE
- opened
The training data of these two experimental models are very limited. If there are some interesting use cases (and if I have time), maybe I'll retrain them to be more useful :D
Thanks :-) I think Prompt to Tag and Tag to Prompt is very useful.
Use-cases:
- Prompt2Tag: Tags for dataset classification
- Prompt2Tag: Tags for clustering
- Prompt2Tag: Tags as pre-condition for a more granular sofisticated search algorythm
- Prompt2Tag: Use tags as form of annotation
- Tag2PRompt: Dataset creation by using tags as basis for seeds.
I am sure those two models (if they work great) would also fit well into an agent framework. Maybe even make them fit into Ant-Think syntax or something similar.
I am sure there are more use-cases. Those are just a few I cam up with on the spot.