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@@ -33,7 +33,7 @@ Extract ground truth via LLM and few-shot learning.
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  Save all skills. Make a comprehensive overview by:
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  1. Embed skills to a vector with an embedding model
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- 2. Perform clustering with HDBSCAN
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  2. Visualize clustering with dimensionality reduction (UMAP)
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  Inspiration: [link](https://dylancastillo.co/posts/clustering-documents-with-openai-langchain-hdbscan.html)
 
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  Save all skills. Make a comprehensive overview by:
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  1. Embed skills to a vector with an embedding model
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+ 2. Perform clustering with KMeans
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  2. Visualize clustering with dimensionality reduction (UMAP)
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  Inspiration: [link](https://dylancastillo.co/posts/clustering-documents-with-openai-langchain-hdbscan.html)