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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.
Description
We developed Stripe Sigma to assist businesses in efficiently analyzing their Stripe data, allowing teams to gain quicker insights into their operations. You can utilize pre-existing SQL queries or create your own custom queries directly within the Stripe dashboard, eliminating the need for data engineering expertise. With organized access to your data, it becomes straightforward to pinpoint customers at risk of churning, identify regions that generate the highest revenue, and much more. You can quickly get answers to any questions related to your Stripe data whenever you need them. Additionally, reports can be set up to generate automatically on a daily, weekly, or monthly basis, helping you stay organized. Enhance your workflow by saving frequently used queries for rapid access. Furthermore, you can share your queries with other teams right within Sigma or export them as CSV files. Stripe Sigma is utilized by business teams to streamline operations, finance teams to expedite financial closures, data teams for in-depth analysis of metrics like ARPU and churn, and product management to discover new business opportunities. This multifaceted tool is designed to cater to various needs, making it an invaluable asset for any organization.
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Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
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Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
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Training Docs
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Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Huawei
Founded
1987
Country
China
Website
huawei.com
Vendor Details
Company Name
Stripe
Founded
2010
Country
United States
Website
stripe.com/sigma