About this document
OpenAI Vector Embeddings Overview by deadlifter.lasc is a document available to read on EtoBox.
OpenAI has released new embedding models, text-embedding-3-small and text-embedding-3-large, which offer improved performance and lower costs for various applications such as search, clustering, and recommendations. These embeddings convert text into numerical vectors, allowing for the measurement of relatedness between text strings. Users can access these embeddings through the OpenAI API, with pricing based on input tokens, and the document provides examples of how to implement and utilize these embedding
- Author
- deadlifter.lasc
- Language
- EN