How does embedding size impact the ability of a model to learn new tasks without forgetting old ones?

Feb 8, 2022 ... It can, generally speaking the larger the embedding size the more information you can encode into your embeddings. But it doesn't ... Jul 22, 2024 ... This paper proposes to learn Scalable Lightweight Embeddings for streaming recommendation, called SCALL, which can adaptively adjust the embedding sizes of ... Aug 18, 2020 ... An embedding of the topological space X into Euclidean space Rn is just a map ϕ:X→Rn such that ϕ:X→ϕ(X) is a homeomorphism. For other users embedding many documents, this batch size may be too small. # set the batch size to 42 embed_model = OpenAIEmbedding(embed_batch_size=42) ... 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 “ ... Jan 12, 2021 ... In this paper, we proposed a novel approach, named PEP (short for Plug-in Embedding Pruning), to reduce the size of the embedding table while avoiding the drop ... ... Scale Semantic Embedding. PLoS Comput Biol 7(1): e1001047. doi:10.1371/journal.pcbi.1001047. Editor: Michael Levitt, Stanford University, United States of ... Selecting Embed only the characters used in the presentation reduces the file size but limits editing of the file using the same font. This checkbox is common ... 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. 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 ...