What are some open research questions related to the optimal choice of embedding size?

May 4, 2019 ... The most common powers of 2 for word embeddings are 128 or 256, depending on which order of magnitude is preferred. Share. Share a link to this ... Feb 20, 2024 ... Vectors are very long and complex. For instance, OpenAI's vector size is typically 1536, which means each embedding is an array of 1536 floating ... Nov 1, 2023 ... Understanding "text-embedding-ada-002" vector length of 1536 ... No matter how long the input string is, the return of creating embeddings with “ ... Currently, many state-of-the-art models produce embeddings with 1024 dimensions, each of which is encoded in float32 , i.e., they require 4 bytes per dimension. Oct 21, 2023 ... We propose the Dynamic Embedding Size Search (DESS) method to minimize the embedding size selection regret on both user and item sides in a non-stationary ... Your prospect receives the image as an attachment with its original size and shape. This method is ideal when the file needs to be preserved. Embeds. An image ... In this paper, we suggest a simple method for estimating τ ∗ and τ w based on symbolic analysis and symbolic entropy. Jun 4, 2024 ... Embedding dimensions: This is the length of the embedding vector. ... For common RAG applications, a good chunk size for an embedding is typically ... Feb 13, 2023 ... The size of the embedding matrix (WE) is (50000 * 768) for small models, where there are 50000 tokens and 768 dimensions. The unembedding ... Dec 19, 2024 ... It balances size and sophistication, outperforming smaller models like nomic-embed-text thanks to its higher dimensions. How fast do you need ...