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LangTest — AI Quality Assurance Tool

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What is LangTest?

LangTest is an AI testing and evaluation platform designed to verify the accuracy and reliability of language models. It generates tailored questions from pasted data or uploaded files, assesses model responses using RLHF management, and tests AI behavior against predefined limits for safety and ethics, which helps AI developers and quality assurance teams deploy dependable and compliant models.

What sets LangTest apart?

LangTest sets itself apart with its dual-phase testing approach that covers both pre-deployment validation and continuous post-launch monitoring of AI models. This combination of testing phases helps development teams and compliance officers maintain high standards throughout their AI systems' lifecycle, from initial creation through years of active use. The platform's detailed performance analytics break down strengths and weaknesses of each model, giving QA specialists actionable insights rather than simple pass/fail results.

LangTest Use Cases

  • AI model accuracy testing
  • Compliance validation checks
  • Performance evaluation reports
  • Automated question generation
  • RLHF model refinement

LangTest Tutorials and AI Training

Who uses LangTest?

Features and Benefits

  • Feature icon Pre and Post-Launch Testing
    Test AI models before deployment and continuously monitor performance after launch to maintain accuracy and reliability.
  • Feature icon Customized Question Types
    Create tailored questions including single choice, multiple choice, and descriptive answers to thoroughly assess AI performance across various scenarios.
  • Feature icon Guardrails Testing
    Ensure AI systems operate within ethical boundaries and safety standards, preventing issues like PII exposure and regulatory violations.
  • Feature icon RLHF Management
    Incorporate human feedback to refine AI responses, improving accuracy and relevance over time.
  • Feature icon Evaluation Reports
    Access detailed performance metrics that identify model strengths, weaknesses, and areas for improvement.
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