leewayhertz

Embeddings As a Service

Our proficiency in working with various data types and creating vector embeddings for diverse tasks enables us to provide you with the most fitting and reliable embeddings for your AI-powered ...
IEEE

Kernel Embeddings of Conditional Distributions: A Unified Kernel Framework for Nonparametric Inference in Graphical Models

Abstract: Many modern applications of signal processing and machine learning, ranging from computer vision to computational biology, require the analysis of large volumes of high-dimensional ...
GitHub

A blazing fast inference solution for text embeddings models.

35 568M XLM-RoBERTa Snowflake/snowflake-arctic-embed-l-v2.0 41 305M Alibaba GTE Snowflake/snowflake-arctic-embed-m-v2.0 52 335M BERT WhereIsAI/UAE-Large-V1 58 137M NomicBERT ...
IEEE

Text Data Augmentation Techniques for Word Embeddings in Fake News Classification

Abstract: Contemporary language models heavily rely on large corpora for their training. The larger the corpus, the better a model can capture various semantic relationships. The issue at hand appears ...
GitHub

E5-V: Universal Embeddings with Multimodal Large Language Models

We propose a framework, called E5-V, to adpat MLLMs for achieving multimodal embeddings. E5-V effectively bridges the modality gap between different types of inputs, demonstrating strong performance ...