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What is Shieldstral?

Shieldstral is a cutting-edge multimodal safety classifier featuring a 3 billion parameter open-weight architecture, capable of evaluating text, images, and mixed text-image content based on policies that are defined dynamically during the inference process. Instead of following a rigid set of harm categories, it treats moderation as a binary question-and-answer dialogue: users provide a contextual instruction detailing the criteria and level of strictness for evaluation, pose a yes-or-no safety question, and submit the content for review. By interpreting the “yes” and “no” logits, it produces a continuous and calibrated safety score, which allows applications to prioritize results based on confidence rather than relying solely on a singular categorical label. This innovative design seamlessly combines prompt classification, response moderation, refusal detection, toxicity assessment, and multimodal safety evaluation into one cohesive interface, giving teams the flexibility to adjust policies without requiring re-training of the model. The adaptability of Shieldstral enables it to effectively analyze various inputs including prompts, responses, image content, and combinations of images with text, thereby serving as a powerful tool for comprehensive safety assessments. Consequently, Shieldstral stands as a noteworthy leap forward in the realm of content moderation technologies, reinforcing safety measures across digital platforms.

What is Perspective API?

The existence of toxic behavior in digital spaces poses a considerable challenge for content creators and platform operators alike. This type of abuse can silence essential viewpoints in discussions, often pushing those who are already marginalized further away from engaging in meaningful dialogue. To combat this pervasive issue, publishers, platforms, and individual users can utilize the features offered by Perspective across various settings, including comment sections, forums, and any text-based interactions. Developers can tailor and deploy Perspective to meet the needs of varied audiences, ensuring it remains responsive and effective. Moderators find Perspective useful as it allows them to efficiently prioritize and evaluate flagged comments for their suitability. Moreover, this tool offers constructive feedback to users who post harmful messages, encouraging them to rethink their contributions. Additionally, developers can incorporate features that enable readers to filter out undesirable comments, such as hiding them from view. Ultimately, Perspective has been shown to boost user participation by creating a safer environment for discussions and empowering people to engage more positively online, which contributes to a healthier digital ecosystem. As the issue of online toxicity continues to evolve, the implementation of innovative solutions like Perspective becomes increasingly vital to ensure all voices are represented without the threat of harassment, fostering a more inclusive online community.

Media

Media

Integrations Supported

Jigsaw
Mistral AI

Integrations Supported

Jigsaw
Mistral AI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

mistral.ai/news/shieldstral/

Company Facts

Organization Name

Perspective

Company Website

www.perspectiveapi.com

Categories and Features

Content Moderation

Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation

Categories and Features

Content Moderation

Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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