What are typical embedding sizes used in different reinforcement learning algorithms?

Apr 3, 2024 ... The reason the size increases is due to storing the extra passages as nested fields as well as all the actual embedding representations ... 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 ... 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 ... 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. 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 ... Jul 14, 2018 ... I have a Word Template (DOTX), and a PowerPoint Template (POTX). I have embedded an OpenType font into each. In word, the file size shoots from 30kb to 4mb. Jul 29, 2017 ... Answer. A Word Embedding is just a mapping from words to vectors. Dimensionality in word embeddings refers to the length of these vectors. Embed an image in a note. To embed an image: ![[Engelbart.jpg]]. Engelbart.jpg > outline. You can change the image dimensions, by adding |640x480 to the link ... Higher dimensions allow more nuanced representations but require more computational resources. For instance, word embeddings like Word2Vec often use 300 ... ... dimension" to latitude and longitude: population size. ... A programmer may feed the neural network examples of how to create an embedding, which dimensions to ...