klotz: similarity* + machine learning* + llm*

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  1. This article explains how to use the Sentence Transformers library to finetune and train embedding models for a variety of applications, such as retrieval augmented generation, semantic search, and semantic textual similarity. It covers the training components, dataset format, loss function, training arguments, evaluators, and trainer.
  2. Image Similarity Search
    Reverse Image Search
    Object Similarity Search
    Robust OCR Document Search
    Semantic Search
    Cross-modal Retrieval
    Probing Perceptual Similarity
    Comparing Model Representations
    Concept Interpolation
    Concept Space Traversal
    Image Similarity Search

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