Knns_11-01-23_update.zip

: New research on more efficient distance calculations (like Manhattan vs. Euclidean) for high-dimensional data.

I'd love to dive into the details or help explain any complex parts of it with you! KNNs_11-01-23_update.zip

That file name looks like a specific archive, likely containing research or an update related to algorithms from November 2023. Since I cannot directly open or "read" a .zip file provided as a text string, I can't see the specific article you're referring to. : New research on more efficient distance calculations

: Improvements in how KNN is used for massive datasets in AI (like ChatGPT's memory), specifically focusing on Hierarchical Navigable Small World (HNSW) graphs to make searches faster. That file name looks like a specific archive,

However, around that time, there were several significant discussions and "updates" in the machine learning community regarding KNNs, particularly focusing on:

: Meta’s Library for efficient similarity search (FAISS) had several optimizations for KNN-related tasks.