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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 Azure AI Content Safety?

Azure AI Content Safety functions as a robust platform dedicated to content moderation, leveraging artificial intelligence to safeguard your content effectively. By utilizing sophisticated AI models, it significantly improves online experiences for users by quickly detecting offensive or unsuitable material present in both textual and visual formats. The language models can analyze text across various languages, whether it’s brief or lengthy, while skillfully understanding context and nuance. In addition, the vision models employ state-of-the-art Florence technology for image recognition, enabling the identification of a wide range of objects within images. AI content classifiers are meticulously designed to recognize content associated with sexual themes, violence, hate speech, and self-harm, achieving an impressive level of precision in their evaluations. Moreover, the platform offers severity scores that pertain to content moderation, which indicate the potential risk level of the content on a scale from low to high, thus aiding in making well-informed decisions regarding user safety. This comprehensive strategy not only enhances the security of online interactions but also fosters a more welcoming and secure digital space for all users. Ultimately, the continual advancements in AI technology promise to further enrich the effectiveness of content moderation practices.

Media

Media

Integrations Supported

Mistral AI

Integrations Supported

Azure AI Content Understanding
Azure AI Translator
Azure Marketplace
Azure Speaker Recognition
Azure Text to Speech
Azure Video Indexer
Crestwood Cloud
Microsoft Azure Responsible AI
QnA Maker
Sonic Fusion X

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

mistral.ai/news/shieldstral/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/ai-services/ai-content-safety/

Categories and Features

AI Models

Not specified

Content Moderation

Not specified

Open-Weight AI Models

Not specified

Categories and Features

AI Governance

Not specified

AI Tools

Not specified

AI Vision Models

Not specified

Content Moderation

Not specified

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