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Description
MyReportPortal streamlines the process of sharing Sigma Computing analytics with external clients, eliminating the cumbersome task of creating and maintaining bespoke web applications.
Developing a client portal from the ground up diverts valuable engineering resources from key product development to address various security challenges, such as embedding security features, configuring dynamic Row-Level Security (RLS) variable mapping, managing SSL certificates, routing custom domains, and implementing multi-tenant authentication protocols.
MyReportPortal provides a ready-to-use, no-code solution that serves as an intermediary layer between your Sigma Computing workspace and client interfaces. By connecting their Sigma account, mapping a unique domain, uploading branding assets, and inviting external users, data and product teams can launch fully functional client analytics portals in just 10 minutes rather than waiting months for custom development.
Notable Features:
- Fully White-Labeled: Deploy on custom domains featuring personalized logos and fonts.
- Robust Security: Ensures multi-tenant isolation while seamlessly integrating Sigma Row-Level Security (RLS).
- Affordable Flat-Rate Plans: Starting at $1,000 per month, organizations can access all these capabilities efficiently.
With MyReportPortal, clients can experience a professional interface that reflects their brand while benefiting from enterprise-grade security and functionality.
Description
Recent breakthroughs in natural language processing, comprehension, and generation have been greatly influenced by the development of large language models. This research presents a system that employs Ascend 910 AI processors and the MindSpore framework to train a language model exceeding one trillion parameters, specifically 1.085 trillion, referred to as PanGu-{\Sigma}. This model enhances the groundwork established by PanGu-{\alpha} by converting the conventional dense Transformer model into a sparse format through a method known as Random Routed Experts (RRE). Utilizing a substantial dataset of 329 billion tokens, the model was effectively trained using a strategy called Expert Computation and Storage Separation (ECSS), which resulted in a remarkable 6.3-fold improvement in training throughput through the use of heterogeneous computing. Through various experiments, it was found that PanGu-{\Sigma} achieves a new benchmark in zero-shot learning across multiple downstream tasks in Chinese NLP, showcasing its potential in advancing the field. This advancement signifies a major leap forward in the capabilities of language models, illustrating the impact of innovative training techniques and architectural modifications.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Screenshots View All
No images available
Integrations
PanGu Chat
Pricing Details
$1000/month
Free Trial
Free Version
Pricing Details
No price information available.
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
My Report Portal, LLC
Founded
2025
Country
United States
Website
myreportportal.com
Vendor Details
Company Name
Huawei
Founded
1987
Country
China
Website
huawei.com
Product Features
Embedded Analytics
Ad hoc Query
Application Development
Benchmarking
Dashboard
Interactive Reports
Mobile Reporting
Multi-User Collaboration
Self Service Analytics
Streaming Analytics
Visual Workflow Management