02 — Select and Configure Foundation Models
02 — Select and Configure Foundation Models
Section titled “02 — Select and Configure Foundation Models”Module Introduction
Section titled “Module Introduction”- Introduction
- Key topics
Foundation Model Evaluation Frameworks
Section titled “Foundation Model Evaluation Frameworks”- Introduction
- Foundation model landscape
- Performance benchmarking fundamentals
- Capability assessment framework for AI systems
- Systematic capability mapping
- Domain-specific evaluation
- Task-specific analysis
- Multimodal assessment
- RAG evaluation
- Bedrock evaluation tools
- Amazon Bedrock AgentCore for advanced evaluation
- Identifying and evaluating limitations
- Business application alignment
- Amazon Nova models for model selection guide
- Custom model development options
- Example: AI-powered customer support optimization
Architectural Foundation
Section titled “Architectural Foundation”- Introduction
- Serverless AI integration patterns
- AWS components overview
- Infrastructure options for AI workloads
- Interface and schema design
- Adapter pattern implementation
- Lambda structuring and error handling
Static Model Routing
Section titled “Static Model Routing”- Introduction
- Static model routing fundamentals
- Advantages and disadvantages
- Static model routing use cases
- Implementation examples
- Best practices
Dynamic Model Routing
Section titled “Dynamic Model Routing”- Introduction
- Amazon Bedrock Intelligent Prompt Routing
- Dynamic routing with Nova models
- Advantages over static routing
- Use cases and scenarios
- Implementation approaches
- Cost-optimized routing strategies
- Best practices and considerations
Circuit Breaker Patterns With Aws Step Functions
Section titled “Circuit Breaker Patterns With Aws Step Functions”- Introduction
- Fundamentals of circuit breaker patterns
- Step Functions for circuit breaker implementation
- Configuring step functions for AI resilience
- Implementing fallback paths
- Monitoring and optimizing circuit breaker performance
- Implementation best practices
- Best practices for AI circuit breakers
- AWS Security Hub integration for AI resilience
Amazon Bedrock Cross-region Inference
Section titled “Amazon Bedrock Cross-region Inference”- Introduction
- Understanding cross-region inference
- Assessing Amazon Bedrock regional model availability
- Setting up cross-region inference
- Multi-region architecture design patterns
- Performance and cost considerations
- Implementation best practices
Graceful Degradation For Ai Systems
Section titled “Graceful Degradation For Ai Systems”- Introduction
- Understanding graceful degradation
- Feature prioritization and core functionality
- Tiered fallback architecture
- Response caching strategies
- User experience considerations
- Implementation best practices
- Implement graceful degradation
Module Summary
Section titled “Module Summary”- Recap and next steps
- Resources