18 — Implement Evaluation Systems for Generative AI

18 — Implement Evaluation Systems for Generative AI

Part 5 Introduction

• Introduction

Module Introduction

• Introduction
• Evaluation frameworks
• Traditional and advanced evaluation metrics
• Building comprehensive assessment frameworks
• Key topics

Developing Assessment Frameworks

• Introduction
• Key metrics for generative AI evaluation
• Developing a framework based on a business use case

Developing Assessment Systems

• Introduction
• Assessment systems for generative AI
• RAG evaluation components
• Implementing RAG evaluation
• LLM-as-a-Judge implementation
• Implementation best practices

Developing Systematic Model Evaluation Strategies

• Introduction
• Amazon Bedrock model evaluations
• A/B testing strategies
• Multi-model evaluation
• Amazon Nova model family evaluation
• Cost-performance analysis
• Implementation best practices

Developing Systematic Quality Assurance Processes

• Introduction
• Quality assurance for generative AI
• Continuous evaluation workflows
• Regression testing for model outputs
• Automated quality gates for deployment
• AI-specific output validation
• Agent-specific quality validation
• Implementation best practices

Evaluating And Optimizing Information Retrieval Components

• Introduction
• Retrieval quality fundamentals
• Relevance scoring techniques
• Context matching verification
• Measuring and optimizing retrieval latency
• Monitoring and continuous improvement for retrieval systems
• Use-case specific optimization strategies

Developing Agent Performance Frameworks

• Introduction
• Agent performance fundamentals
• Measuring task completion rates
• Multi-step workflow assessment for agent performance
• Tool usage effectiveness evaluation
• Strands Agents evaluation framework
• Amazon Bedrock AgentCore evaluations
• Best practices for agent performance monitoring
• Use case-specific performance frameworks

Developing Reporting Systems For Stakeholders

• Introduction
• Reporting systems fundamentals
• Visualization tools and dashboard development
• Automated reporting mechanisms
• Model comparison visualizations
• Stakeholder-specific reporting frameworks

Module Summary

• Recap and next steps
• Resources