What are some strategies for dealing with imbalanced datasets in the context of embeddings?

output_dimensionality. Optional: int. Used to specify output embedding size. If set, output embeddings will be truncated to the size specified. Aug 3, 2023 ... pgvector adds a new datatype vector, which developers use to store embeddings in regular columns within their database tables. Here are some test forms on fitting-net size tuning or embedding-net size tuning performed on several different systems. Oct 17, 2023 ... We've uncovered the fascinating world of distributed representations, high-dimensional spaces, and emergent properties in this exploration of word embeddings. 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 ... ... dimension" to latitude and longitude: population size. ... A programmer may feed the neural network examples of how to create an embedding, which dimensions to ... Apr 16, 2024 ... Explore Snowflake Arctic's new open-source embedding models, delivering top retrieval performance with smaller sizes for faster deployment ... 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. Mar 19, 2023 ... I was wondering if ml-common has (or will have) options to reduce the default size using techniques such as PCA, t-SNE (t-SNE-Java), LDA, Autoencoders etc. Jun 18, 2024 ... I'm working on a page where I'm embedding form.io form into a squarespace page. However, embedding the code changes the width of all of the sections by making ...