What are some techniques for visualizing and interpreting attention weights with different embedding sizes?

Choose your embed sizing. Wistia embeds can remain at a fixed size or be fully responsive to any screen or browser. Sizing is a bit ... Aug 3, 2023 ... pgvector adds a new datatype vector, which developers use to store embeddings in regular columns within their database tables. Higher dimensions allow more nuanced representations but require more computational resources. For instance, word embeddings like Word2Vec often use 300 ... Jul 8, 2023 ... The 'dimension' of an embedding refers to the length of the vector representing an object. So, an embedding with 1536 dimensions means that ... Sep 6, 2023 ... The authors of word2vec are somewhat vague, recommending somewhere between 100 and 1000 dimensions. Other authors pick numbers like 100 or 300. 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 ... Oct 23, 2023 ... Paper: Towards General Text Embeddings with Multi-stage Contrastive Learning; Embedding Dimension: 768; Model Size: 219 MB. 2. GTE-Large. Model ... My response was solely for the cloud version. Here's a small clarification : I mistook your mention of maximum size for Office Powerpoint Macro , as the file ... The length of the embedding array is called the vector's dimensionality. A passage of text might be represented by a vector containing hundreds of dimensions. Available Models. Voyage recommends using the following text embedding models: Model, Context Length, Embedding Dimension, Description. voyage-3-large, 32,000 ...