What are some techniques for using embeddings for topic modeling?

In this paper, we suggest a simple method for estimating τ ∗ and τ w based on symbolic analysis and symbolic entropy. Apr 8, 2023 ... The output dimension is mantained, since values coming from each attention head are concatenated and then projected with a matrix WO∈Rhdv×dmodel ... 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 ... Specify a dimensionality to control the embedding size. from nomic import embed output = embed.text( texts=['Nomic Embedding API', '#keepAIOpen'], model ... 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 ... 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 ... The Granite Embedding lineup includes four different models of varying sizes: granite-embedding-30m-english: English only model that produces embedding vectors ... Here are some test forms on fitting-net size tuning or embedding-net size tuning performed on several different systems. Nov 9, 2019 ... I'm aware that the num_embeddings argument refers to how many elements we have in our vocabulary, and embedding_dim is simply referring to how ... Optional, starting in the 2024-05-01-preview REST API, the dimensions of embeddings that you would like to generate, assuming the model supports a range of ...