Posts with the tag embeddings

Learning Interpretable Embeddings via LLMs

Machine Learning · November 11, 2023

Our paper at EMNLP 2023, “Learning Interpretable Style Embeddings via Prompting LLMs” used GPT-3 to generate a synthetic dataset used for training interpretable text style embeddings, where each dimension of the embedding vector has a meaningful interpretation to a human.

Relationship between Cosine Similarity and Euclidean Distance

Machine Learning · May 27, 2020

For unit-length vectors, both the cosine similarity and Euclidean distance measures can be used for ranking with the same order. In fact, you can directly convert between the two.

Ajay Patel

Posts with the tag embeddings