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Clustering ideas with Llamafile

Published August 20, 2024

  • Clustering ideas with Llamafile

    Working through the process of applying a local LLM to idea-clustering and labelling: – map the notes as points in a semantic space using vector embeddings; – apply k-means clustering to group nearby points in space; – map points back to groups of notes, then use a large language model to generate labels. This is interesting; I particularly like the use of local hardware

    (tags: ai llm llamafile clustering labelling ml)