https://p.migdal.pl/blog/2025/01/dont-use-cosine-similarity Don’t use cosine similarity carelesslyPiotr Migdał14 Jan 2025 “…we’ll see that blindly applying cosine similarity to vectors can lead us astray. While embeddings do capture similarities, they often reflect
What I Read: cosine similarity
https://tomhazledine.com/cosine-similarity-alternatives Alternatives to cosine similarityTom Hazledine9/20/24 8:00 PM “Cosine similarity is the recommended way to compare vectors, but what other distance functions are there? And are any of them better?”
What I Read: embedding models
https://unstructured.io/blog/understanding-embedding-models-make-an-informed-choice-for-your-rag Understanding embedding models: make an informed choice for your RAGMaria KhalusovaAug 13, 2024 “How do you choose a suitable embedding model for your RAG application?”
What I Watch: compare high dimensional vectors
A new way to compare high dimensional vectorsTunadorableAug 26, 2024 “Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric (DIEM)”
What I Read: Diffusion models, new theoretical perspective
https://www.chenyang.co/diffusion.html Diffusion models from scratch, from a new theoretical perspectiveChenyang Yuan2023 “This tutorial aims to introduce diffusion models from an optimization perspective…”
What I Read: To Understand Transformers, Focus on Attention
https://drscotthawley.github.io/blog/posts/Transformers1-Attention.html To Understand Transformers, Focus on AttentionScott H. HawleyAugust 21, 2023 “To Understand Transformers, Focus on Attention”