Are certain embedding sizes more suitable for capturing long-range dependencies in text?

Embedding capsules, gelatin, easy molds, BEEM® capsules, tissue processing, critical point dryer from Electron Microscopy Sciences. Aug 17, 2023 ... Word2Vec can be used to create dense word embeddings that are vectors that have a fixed size, regardless of the size of the vocabulary. This ... Embedding Dimension ... The embedding dimension is defined as the length m of the used single vector “butter embedding space” that can reconstruct the successive ... Model Choices Voyage currently provides the following text embedding models: Model Context Length (tokens) Embedding Dimension Description voyage-3-large ... Jul 23, 2024 ... Sort by Size allows you to arrange files in the ascending or ... When you hover the cursor on the embedded file, Illustrator displays the file ... text-embedding-3-small is OpenAI's small text embedding model, creating embeddings with 1536 dimensions. Jul 22, 2024 ... This paper proposes to learn Scalable Lightweight Embeddings for streaming recommendation, called SCALL, which can adaptively adjust the embedding sizes of ... 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. The first text embedding model with a 8192 context-length that outperforms OpenAI Ada-002 and text-embedding-3-small on both short and long context tasks. Oct 1, 2024 ... I have a database on a Qdrant with a vector of 256 dimensions. The embedding was done using the “text-embedding-3-large” model with the dimensions parameter ...