Llama GuardMeta
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Related Products
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About
Adaption provides tools for building AI models that adapt as data and requirements change. Its web platform combines data preparation, synthetic-data generation, dataset exploration, and model training. Adaptive Data imports files and data from Hugging Face or Kaggle, with column mapping, deduplication, prompt transformation, augmentation, translation, and evaluation. Invent a Dataset creates instruction or preference data from a written objective. Visualize supports questions, interactive charts, and row-level inspection of text and tabular data. AutoScientist optimizes training data and model recipes against a goal, runs experiments, evaluates results, and exports adapted models. Workflows include fine-tuning, alignment, multilingual dataset expansion, and data-coverage analysis. Adaption also offers API access and a Python SDK for integrating these tools into AI-development workflows.
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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.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Organizations that want to build and own internal AI models without heavy resourcing and long timelines.
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Audience
Anyone searching for a tool to implement customizable safety measures in their generative AI applications
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and VideosNo images available
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Pricing
No information available.
Free Version
Not Supported
Free Trial
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
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In Person
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Company InformationAdaption
Founded: 2026
United States
adaptionlabs.ai
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Company InformationMeta
Founded: 2004
United States
ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/
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Integrations
Hugging Face
Supported
Kaggle
Supported
Llama
Not Supported
Nebius Token Factory
Not Supported
OpenAI
Not Supported
Together AI
Supported
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Integrations
Hugging Face
Not Supported
Kaggle
Not Supported
Llama
Supported
Nebius Token Factory
Supported
OpenAI
Supported
Together AI
Not Supported
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