Agent Architectures: Patterns and Tradeoffs
A structured comparison of ReAct, Plan-and-Execute, Reflexion, multi-agent, and hierarchical architectures, with guidance on when to apply each.
A structured comparison of ReAct, Plan-and-Execute, Reflexion, multi-agent, and hierarchical architectures, with guidance on when to apply each.
How to build evaluation pipelines, trace LLM calls end-to-end, detect output drift, and alert on quality degradation in production AI systems.
How to containerize ML services, schedule GPU workloads on Kubernetes, and build reproducible training and serving infrastructure.
A practical guide to SageMaker, Bedrock, EKS, S3, and Step Functions for production ML workloads on AWS.
Two-tower retrieval, FAISS candidate generation, LambdaMART reranking, and the engineering tradeoffs behind production recommender systems.
How to use LLMs effectively in the software engineering loop: what works, what fails, and how to measure the difference.
A playbook for common GenAI production failures.
How modern AI systems are built
How production ML systems are built, deployed, and maintained.