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Average Ratings 0 Ratings
Description
Perplexity Decider is a sophisticated decision model with 27 billion parameters, derived from Qwen3.8-27B, specifically tailored for structured classification and multimodal decision-making tasks. Instead of producing freeform text, it processes an input state along with a specified decision schema to deliver the chosen outcome along with calibrated probabilities. The model is adept at making choice decisions from a set of predefined categories, as well as noul decisions that evaluate the likelihood of a yes-or-no answer. Furthermore, it is capable of processing images in conjunction with text, enabling it to make informed decisions based on visual data such as screenshots. Typical applications include directing support inquiries to appropriate teams like billing, technical support, or sales, and assessing whether a communication conveys a sense of urgency. Perplexity Decider boasts an impressive overall accuracy rate of 85.71% across 11 distinct benchmarks, such as FinancialPhraseBank, RAGTruth, JudgeBench, TabFact, ContractNLI, Circa, Belebele, and TruthfulQA binary, showcasing its versatility and effectiveness in various decision-making scenarios. This high level of accuracy underscores the model's potential to enhance automated systems requiring nuanced interpretation of both text and images.
Description
Shieldstral is an innovative multimodal safety classifier with a 3B parameter open-weight structure, adept at assessing text, images, and combined text-plus-image content based on dynamically defined policies during inference. Rather than adhering to a static set of harm categories, it approaches moderation as a binary question-and-answer format: users submit a contextual instruction outlining the evaluation criteria and strictness, pose a yes-or-no safety inquiry, and present the content for assessment. The model processes the “yes” and “no” logits to generate a continuous, calibrated safety score, enabling applications to prioritize or rank outcomes based on confidence levels instead of relying on a single categorical label. This design effectively integrates prompt classification, response moderation, refusal detection, toxicity assessment, and multimodal safety evaluation into a singular interface, empowering teams to modify policies without the need for model retraining. Shieldstral's versatility allows it to analyze prompts, responses, pairs of prompts and responses, images, and images paired with text, making it a comprehensive tool for safety evaluation. As such, it represents a significant advancement in the field of content moderation.
API Access
Has API
Yes
API Access
Has API
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Perplexity
Founded
2022
Country
United States
Website
huggingface.co/perplexity-ai/pplx-decider-v1-27b
Vendor Details
Company Name
Mistral AI
Founded
2023
Country
France
Website
mistral.ai/news/shieldstral/
Product Features
Product Features
Content Moderation
Artificial Intelligence
No
Audio Moderation
No
Brand Moderation
No
Comment Moderation
No
Customizable Filters
No
Image Moderation
No
Moderation by Humans
No
Reporting / Analytics
No
Social Media Moderation
No
User-Generated Content (UGC) Moderation
No
Video Moderation
No