Introduction

Hamming revolutionizes AI application development with its focus on accuracy and resilience. It offers a suite of tools that help teams evaluate, monitor, and debug AI systems, ensuring high performance and reliability.

Core Features

1. Adversarial Testing: Robustness against prompt-injection attacks.
2. Performance Evaluation: Metrics for accuracy, tone, and hallucinations.
3. Continuous Monitoring: Real-time tracking of AI performance.
4. RAG System Support: Optimization of retrieval and reasoning processes.
5. Integration: Compatible with major LLMs and vector databases.

Application Scenarios

1. Product Development: Ensure robust AI application performance.
2. Quality Assurance: Evaluate and improve AI accuracy and resilience.
3. Monitoring: Continuously track AI app performance in production.
4. Debugging: Identify and resolve issues in AI pipelines.

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