Key features of SafeGPT include:

  • Use the Giskard Testing library to generate automated tests for precise and contextual assessments, from RAG to chatbots.
  • Continuously monitor your LLM results with the dashboard, which includes alerting and root-cause analysis capabilities. Filter by queries, topics, and users.
  • Built to integrate with any LLM Quality Assurance platform for real-time evaluation of LLM quality.
  • Protect against critical AI Safety risks such as hallucinations, factual errors, privacy issues, toxicity issues, and robustness issues.
  • Methodology grounded in research, including human feedback, external data integration, adversarial testing, ethical AI detection methods, and metamorphic testing.
  • Open-source Python library for AI testing, allowing you to extend it with your own tests.

For LLM app developers who want to say goodbye to errors, biases, and privacy issues in their LLMs, SafeGPT provides the necessary tools and monitoring capabilities to ensure the safety and performance of their applications. Sign up for early access and start optimizing your LLMs today.

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FeatureDetails
Pricing StructureFree tier available with limited checks, enterprise pricing upon request.
Key FeaturesAI model validation tool for testing the safety, reliability, and fairness of GPT models.
Use CasesAI developers, researchers, businesses deploying AI models.
Ease of UseModerately easy to use, requires some technical knowledge.
PlatformsWeb-based platform.
IntegrationIntegrates with AI development tools like Hugging Face, GitHub.
Security FeaturesSOC 2 compliance, model safety and data privacy safeguards.
TeamFounded by AI researchers, no specific details on founding year.
User ReviewsPositive reviews for enhancing AI model safety, but users note the complexity for beginners.

SafeGPT Reviews

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