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Description
Developing customer care marketing messages that promote a bias-free workplace is essential. Dost identifies toxic language, microaggressions, and unconscious bias in various forms of communication, including text, images, and videos, encouraging users to adjust their messaging accordingly. We have curated a range of resources designed to support you in managing change, enhancing communication, and effectively implementing Dost. This presentation outlines a comprehensive strategy for rolling out Dost, detailing the necessary steps for a successful launch within your organization. It serves as a practical guide for change leaders, offering clear directions on how to effectively introduce Dost to your workplace. Inside this document, you will find all the essential data required to advocate for the adoption of Dost among stakeholders and employees alike. Powered by advanced AI models, Dost specializes in identifying noninclusive language, which is defined based on established research criteria tailored for workplace communication. By utilizing insights gathered from both primary and secondary research, we ensure our AI models are equipped to foster a more inclusive environment. Ultimately, embracing tools like Dost can significantly enhance workplace dynamics and promote a culture of respect and understanding.
Description
Llama Guard is a collaborative open-source safety model created by Meta AI aimed at improving the security of large language models during interactions with humans. It operates as a filtering mechanism for inputs and outputs, categorizing both prompts and replies based on potential safety risks such as toxicity, hate speech, and false information. With training on a meticulously selected dataset, Llama Guard's performance rivals or surpasses that of existing moderation frameworks, including OpenAI's Moderation API and ToxicChat. This model features an instruction-tuned framework that permits developers to tailor its classification system and output styles to cater to specific applications. As a component of Meta's extensive "Purple Llama" project, it integrates both proactive and reactive security measures to ensure the responsible use of generative AI technologies. The availability of the model weights in the public domain invites additional exploration and modifications to address the continually changing landscape of AI safety concerns, fostering innovation and collaboration in the field. This open-access approach not only enhances the community's ability to experiment but also promotes a shared commitment to ethical AI development.
API Access
Has API
API Access
Has API
Integrations
Krita.ai
Lever
Llama
Microsoft Teams
Nebius Token Factory
OpenAI
Slack
Integrations
Krita.ai
Lever
Llama
Microsoft Teams
Nebius Token Factory
OpenAI
Slack
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Krita.ai
Founded
2020
Country
United States
Website
krita.ai/dost/
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/
Product 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