Overview
LLM Output Validation Solution powered by Amazon Bedrock
Our solution leverages Amazon Bedrock to validate and evaluate Large Language Model (LLM) outputs. Through systematic comparison of AI-generated responses against baseline answers, we ensure consistent accuracy and reliability in AI applications.
Key Features: Comprehensive LLM output evaluation framework Seamless Amazon Bedrock integration Real-time validation capabilities Performance analytics and reporting Enterprise security controls Scalable serverless architecture
Benefits: • Automated quality assurance for AI outputs • Access to leading foundation models • Enhanced accuracy and reliability • No infrastructure management required
Technical Capabilities:
Support for multiple foundation models Customizable validation parameters Secure data handling Cloud-native deploymentThis solution helps organizations implement effective quality control for AI applications while maintaining high performance standards. Ideal for enterprises seeking to validate and enhance their LLM implementations using Amazon's advanced AI services.
Highlights
- Prompt & Baseline Evaluation:
 Systematically validate and compare AI-generated responses with complete, accurate reference responses, ensuring correctness and thoroughness.
- Detailed Prediction Metrics:
 Gain granular insights into AI response quality with assessments covering usefulness, alignment, relevance, and coherence. Our Responsible AI checks proactively flag potentially harmful or non-compliant outputs.
- Evaluation Job Management:
 Streamline your workflow with centralized monitoring and management of all evaluation tasks, providing visibility into creation timestamps, evaluation titles, dataset references, execution durations, and real-time status updates.
Details
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Support Information: NiSUS Technologies Corporation ( <www.nisustech.com > ) Marcus Wilhoit - wilhoitm@nisustech.comÂ
AWS Select Partner Integration assistance available upon request