Don't use cosine similarity carelessly
SMRTR summary
Embeddings and cosine similarity, while powerful tools for AI, can lead to misleading results when blindly applied. Better approaches include using task-specific embeddings, pre-prompt engineering, or rewriting text to focus on relevant content before embedding. These methods help capture intended similarities more accurately for various applications.
SMRTR provides this summary for quick context. The original article belongs to Hacker News.
Read the original article