Flagged. Significant parts AI-generated, and it misrepresents the writeup. It is titled "Cosine Similarity Isn't the Silver Bullet We Thought It Was", and the a

Flagged. Significant parts AI-generated, and it misrepresents the writeup. It is titled "Cosine Similarity Isn't the Silver Bullet We Thought It Was", and the article is (editorializing) "it's a bad idea to use LLM embeddings, trained for dot product, for cosine similarity" From paper: - "when a model is trained w.r.t. the dotproduct, its effect on cosine-similarity can be opaque and sometimes not even unique. One solution obviously is to train the model w.r.t. to cosine similarity" - "We find that the underlying reason is not cosine similarity itself, but the fact that the learned embeddings have a degree of freedom that can render arbitrary cosine-similarities even though their (unnormalized) dot-products are well-defined and unique"