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Description
Snowflake's Arctic Embed 2.0 brings enhanced multilingual functionality to its text embedding models, allowing for efficient global-scale data retrieval while maintaining strong performance in English and scalability. This version builds on the solid groundwork of earlier iterations, offering support for various languages and enabling developers to implement stream-processing pipelines that utilize neural networks and tackle intricate tasks, including tracking, video encoding/decoding, and rendering, thus promoting real-time data analytics across multiple formats. The model employs Matryoshka Representation Learning (MRL) to optimize embedding storage, achieving substantial compression with minimal loss of quality. As a result, organizations can effectively manage intensive workloads such as training expansive models, fine-tuning, real-time inference, and executing high-performance computing operations across different languages and geographical areas. Furthermore, this innovation opens new opportunities for businesses looking to harness the power of multilingual data analytics in a rapidly evolving digital landscape.
Description
GLM-OCR is an advanced multimodal optical character recognition system and an open-source framework that excels in delivering precise, efficient, and thorough document comprehension by integrating textual and visual elements within a cohesive encoder-decoder design inspired by the GLM-V series. This model features a visual encoder that has been pre-trained on extensive image-text datasets alongside a streamlined cross-modal connector that channels information into a GLM-0.5B language decoder. It offers capabilities for layout detection, simultaneous recognition of various regions, and structured outputs for diverse content types, including text, tables, formulas, and intricate real-world document formats. Furthermore, it employs Multi-Token Prediction (MTP) loss and robust full-task reinforcement learning techniques to enhance training efficiency, boost recognition accuracy, and improve generalization across various tasks, leading to remarkable performance on significant document understanding challenges. This innovative approach not only sets new benchmarks but also opens up possibilities for further advancements in the field of document analysis.
API Access
Has API
API Access
Has API
Integrations
OpenAI
Snowflake
Pricing Details
$2 per credit
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Snowflake
Founded
2012
Country
United States
Website
www.snowflake.com/en/engineering-blog/snowflake-arctic-embed-2-multilingual/
Vendor Details
Company Name
Z.ai
Founded
2019
Country
China
Website
github.com/zai-org/GLM-OCR