Llama GuardMeta
|
||||||
Related Products
|
||||||
About
Handit.ai is an open source engine that continuously auto-improves your AI agents by monitoring every model, prompt, and decision in production, tagging failures in real time, and generating optimized prompts and datasets. It evaluates output quality using custom metrics, business KPIs, and LLM-as-judge grading, then automatically AB-tests each fix and presents versioned pull-request-style diffs for you to approve. With one-click deployment, instant rollback, and dashboards tying every merge to business impact, such as saved costs or user gains, Handit removes manual tuning and ensures continuous improvement on autopilot. Plugging into any environment, it delivers real-time monitoring, automatic evaluation, self-optimization through AB testing, and proof-of-effectiveness reporting. Teams have seen accuracy increases exceeding 60 %, relevance boosts over 35 %, and thousands of evaluations within days of integration.
|
About
Llama Guard is an open-source safeguard model developed by Meta AI to enhance the safety of large language models in human-AI conversations. It functions as an input-output filter, classifying both prompts and responses into safety risk categories, including toxicity, hate speech, and hallucinations. Trained on a curated dataset, Llama Guard achieves performance on par with or exceeding existing moderation tools like OpenAI's Moderation API and ToxicChat. Its instruction-tuned architecture allows for customization, enabling developers to adapt its taxonomy and output formats to specific use cases. Llama Guard is part of Meta's broader "Purple Llama" initiative, which combines offensive and defensive security strategies to responsibly deploy generative AI models. The model weights are publicly available, encouraging further research and adaptation to meet evolving AI safety needs.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
DevOps teams in need of a solution to automatically tune, test, and deploy improvements to their AI workflows
|
Audience
Anyone searching for a tool to implement customizable safety measures in their generative AI applications
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
Free
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationHandit
Founded: 2024
United States
www.handit.ai/
|
Company InformationMeta
Founded: 2004
United States
ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
Llama
Nebius Token Factory
OpenAI
|
||||||
|
|
|