4Operational Efficiency and Optimization for GenAI Applications

• 4.1Cost Optimization and Resource Efficiency

  Learn strategies to reduce FM cost: token efficiency (context optimization, compression, pruning), model tiering, prompt caching/semantic caching, batch inference, and provisioned throughput optimization.

• 4.2Optimizing Application Performance

  Learn to improve GenAI app responsiveness: latency-optimized models, parallel requests, streaming, tuning temperature/top-k/top-p, retrieval optimization, and Auto Scaling.

• 4.3Monitoring Systems for GenAI Applications

  Learn observability for FM apps: token usage/hallucination rate/response quality in CloudWatch, Bedrock Model Invocation Logs, anomaly detection, tool-calling observability, and hallucination detection with golden datasets.