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Description
Instruction-following models like GPT-3.5 (text-DaVinci-003), ChatGPT, Claude, and Bing Chat have seen significant advancements in their capabilities, leading to a rise in their usage among individuals in both personal and professional contexts. Despite their growing popularity and integration into daily tasks, these models are not without their shortcomings, as they can sometimes disseminate inaccurate information, reinforce harmful stereotypes, and use inappropriate language. To effectively tackle these critical issues, it is essential for researchers and scholars to become actively involved in exploring these models further. However, conducting research on instruction-following models within academic settings has posed challenges due to the unavailability of models with comparable functionality to proprietary options like OpenAI’s text-DaVinci-003. In response to this gap, we are presenting our insights on an instruction-following language model named Alpaca, which has been fine-tuned from Meta’s LLaMA 7B model, aiming to contribute to the discourse and development in this field. This initiative represents a step towards enhancing the understanding and capabilities of instruction-following models in a more accessible manner for researchers.
Description
Bodyguard serves as a guardian for your online communities and platforms, effectively combating toxic content, cyberbullying, and hate speech. By harnessing the potential of positive interactions, you can create a protective barrier against negativity. It addresses various categories of toxic content and evaluates their severity, employing contextual analysis and decoding the nuances of internet language. Whether it’s a handful of blog comments or a flood of social media responses, including live streaming interactions, Bodyguard maintains a robust database to guide content strategies and discover innovative ways to connect with your audience. You can select which categories of toxic content you wish to monitor, ensuring a tailored approach. Research shows that platforms devoid of toxic content are three times more likely to retain existing users and draw in new members. Moreover, environments free from negativity can lead to visitors spending approximately 60% more time engaging with your content. Safeguarding your brand’s reputation, as well as the well-being of your users and employees, is crucial; associating your business with toxic content can have detrimental effects. With seamless and rapid API integration, Bodyguard is compatible with any platform, and its pricing is adaptable to fit your specific needs while ensuring a safe online experience for all. In today’s digital world, proactive measures against toxic behaviors are not just beneficial but essential for fostering healthy online interactions.
API Access
Has API
API Access
Has API
Integrations
BERT
ChatGPT
Dolly
GPT-4
Llama
Ludwig
Stable LM
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
Stanford Center for Research on Foundation Models (CRFM)
Country
United States
Website
crfm.stanford.edu/2023/03/13/alpaca.html
Vendor Details
Company Name
Bodyguard
Founded
2017
Country
France
Website
www.bodyguard.ai/businesses
Product Features
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