Evaluating Generative AI Models with H2O Eval Studio

Model Risk Management (MRM) Fundamentals

Understand the systematic framework for evaluating AI systems in production and learn why domain-specific evaluation matters more than generic benchmarks.

Robustness and Adversarial Testing

Test your system's resilience against real-world challenges like typos, grammatical errors, and malicious inputs including prompt injections.

Mitigation Strategies and Guardrails

Learn practical fixes for detected issues, from adjusting system prompts to implementing guardrails that prevent hallucinations and unsafe responses.

The H2O Eval Studio Workflow
 

Understand the complete end-to-end evaluation process for testing and validating GenAI and RAG applications in production.

Automated Test Generation from Your Data

Use topic modeling to automatically generate test cases grounded in your actual documents - no synthetic datasets or manual question writing required.

Advanced LLM Evaluation Techniques

Learn evaluation methods for detecting hallucinations, measuring answer relevance, and identifying toxicity, bias, and data leakage.