How does embedding size relate to the performance of models on tasks with long input sequences, such as long documents or time series?

In a vector, the number of dimensions depends on the length of your vector — “n”. So if an embedding has 150 numbers or n=150, the vector has 150 dimensions. Optional, starting in the 2024-05-01-preview REST API, the dimensions of embeddings that you would like to generate, assuming the model supports a range of ... Oct 23, 2023 ... Paper: Towards General Text Embeddings with Multi-stage Contrastive Learning; Embedding Dimension: 768; Model Size: 219 MB. 2. GTE-Large. Model ... Aug 30, 2024 ... So even embedding models with max tokens of 512 should be more than enough. Embedding Dimensions: Length of the embedding vector. Smaller ... Embedding capsules, gelatin, easy molds, BEEM® capsules, tissue processing, critical point dryer from Electron Microscopy Sciences. ... Scale Semantic Embedding. PLoS Comput Biol 7(1): e1001047. doi:10.1371/journal.pcbi.1001047. Editor: Michael Levitt, Stanford University, United States of ... Specify a dimensionality to control the embedding size. from nomic import embed output = embed.text( texts=['Nomic Embedding API', '#keepAIOpen'], model ... Available Models. Voyage recommends using the following text embedding models: Model, Context Length, Embedding Dimension, Description. voyage-3-large, 32,000 ... Aug 8, 2020 ... After I embed fonts, the size changes to 6.38x9.01, which is unacceptable to the publishing company and kicks it out with an "invalid trim size" error. text-embedding-3-small is OpenAI's small text embedding model, creating embeddings with 1536 dimensions.