Don't use cosine similarity carelessly
Read OriginalThis article explains why applying cosine similarity to text embeddings without careful consideration can be misleading. It highlights how embeddings can capture the wrong kind of similarity, such as matching questions to questions or focusing on superficial patterns like writing style. The post provides guidance on being more intentional with similarity measures to achieve more accurate and meaningful results from Large Language Model embeddings.
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