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Description
Pre-trained language models have made significant strides, achieving top-tier performance across multiple Natural Language Processing (NLP) applications. The impressive capabilities of GPT-3 highlight how increasing the scale of these models can unlock their vast potential. Recently, a comprehensive framework known as ERNIE 3.0 was introduced to pre-train large-scale models enriched with knowledge, culminating in a model boasting 10 billion parameters. This iteration of ERNIE 3.0 has surpassed the performance of existing leading models in a variety of NLP tasks. To further assess the effects of scaling, we have developed an even larger model called ERNIE 3.0 Titan, which consists of up to 260 billion parameters and is built on the PaddlePaddle platform. Additionally, we have implemented a self-supervised adversarial loss alongside a controllable language modeling loss, enabling ERNIE 3.0 Titan to produce texts that are both reliable and modifiable, thus pushing the boundaries of what these models can achieve. This approach not only enhances the model's capabilities but also opens new avenues for research in text generation and control.
Description
UTMGuard is a powerful tool designed to integrate seamlessly with your Google Analytics 4 account, allowing for a thorough examination of your tracking configuration to swiftly identify any broken, malformed, or inconsistent UTM parameters that could be undermining your campaign attribution. In approximately one minute, UTMGuard performs numerous rule-based evaluations on your parameters, identifying issues such as organic traffic mistakenly labeled with UTM parameters—which can blur the lines between SEO and paid traffic—invalid source-medium pairs, naming inconsistencies (like case sensitivity and naming variations), missing parameters, or internal links that contain UTM tags, which can skew your analytics data. The tool produces comprehensive audit reports that clearly delineate which links or sessions are affected, along with actionable advice on how to rectify or standardize your tagging practices. By identifying these errors at an early stage and promoting uniform parameter rules, UTMGuard plays a crucial role in maintaining the integrity of your data, ensuring that your marketing attribution remains precise and that the decisions informed by GA4 reports are based on reliable information. Ultimately, UTMGuard empowers marketers to optimize their campaigns with confidence, reducing the likelihood of costly attribution mistakes.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$15 per month
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
Baidu
Founded
2000
Country
China
Website
research.baidu.com/Public/uploads/61c4362c79ee8.pdf
Vendor Details
Company Name
UTMGuard
Country
United States
Website
www.utmguard.com
Product Features
Product Features
Marketing Analytics
A/B Testing
Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
ROI Tracking
Social Media Metrics
Website Analytics