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Verify AI outputs and detect hallucinations in real-time.

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Agents QA AI Detection

Overview

RELAI: The Unified Platform for Reliable AI Products is a platform that offers real-time verification and hallucination detection for engaging with large language models, ensuring reliability and accuracy.

Key Features:

  • Real-time Verification: Receive instant verification of large language model responses as you chat.
  • Comprehensive Coverage: Leverage a diverse set of verification agents for thorough verification.
  • Cutting-edge Detection: Benefit from advanced hallucination detection for reliable outputs.
  • Customizable Verification: Adjust the verification strength to match specific requirements.
  • Model Evaluation: Utilize evaluation agents to rigorously stress test AI models.
  • Model Improvement: Gather high-quality data to enhance AI model performance.
  • System-Level Safeguards: Implement safeguards to protect sensitive data and prevent misuse.
  • User-Facing Safeguards: Deliver real-time verification and detection for end-users.

Use Cases:

  • Individuals can chat with large language models while ensuring reliability through real-time verification.
  • Enterprises can evaluate and test AI models with advanced agents to catch potential issues before deployment.

Benefits:

  • Enhanced reliability and accuracy in engaging with large language models.
  • Thorough verification and detection for reliable outputs.
  • Protection of sensitive data and prevention of misuse.

Capabilities

  • Detects and flags hallucinations in LLM outputs in real-time
  • Verifies the accuracy of LLM responses
  • Cross-references LLM responses to identify inconsistencies
  • Compares LLM-generated answers against reliable sources
  • Analyzes statistical patterns in LLM generated distributions
  • Implements system-level safeguards to protect sensitive data
  • Monitors the effectiveness of system-level safeguards in real-time
  • Provides real-time verification for end-users
  • Evaluates and tests AI models
  • Enhances the performance of AI models
  • Adjusts verification strength to match specific requirements

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