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features
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support

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Description

Handit.ai serves as an open-source platform that enhances your AI agents by perpetually refining their performance through the oversight of every model, prompt, and decision made during production, while simultaneously tagging failures as they occur and creating optimized prompts and datasets. It assesses the quality of outputs using tailored metrics, relevant business KPIs, and a grading system where the LLM acts as a judge, automatically conducting AB tests on each improvement and presenting version-controlled diffs for your approval. Featuring one-click deployment and instant rollback capabilities, along with dashboards that connect each merge to business outcomes like cost savings or user growth, Handit eliminates the need for manual adjustments, guaranteeing a seamless process of continuous improvement. By integrating effortlessly into any environment, it provides real-time monitoring and automatic assessments, self-optimizing through AB testing while generating reports that demonstrate effectiveness. Teams that have adopted this technology report accuracy enhancements exceeding 60%, relevance increases surpassing 35%, and an impressive number of evaluations conducted within just days of integration. As a result, organizations are empowered to focus on strategic initiatives rather than getting bogged down by routine performance tuning.

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

Screenshots View All

Screenshots View All

Integrations

Llama
Nebius Token Factory
OpenAI

Integrations

Llama
Nebius Token Factory
OpenAI

Pricing Details

Free
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

Handit

Founded

2024

Country

United States

Website

www.handit.ai/

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

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Product Features

Alternatives

Alternatives

Llama 3 Reviews

Llama 3

Meta