Mastering Multi-Agent Systems
Multi-agent systems can handle more complex tasks, but are they worth the orchestration overhead, and how can they be made reliable in production?This comprehensive 165-page guide explores when multi-agent systems add value, how to design them efficiently, and how to build reliable systems that work in production.
Mastering AI Agents
A comprehensive guide for evaluating AI agentsLearn how to master the core components of agent engineering, identify common failure points, and compare frameworks side-by-side using clear decision criteria. You’ll also discover proven debugging workflows and how to break complex tasks into manageable, reliable agentic workflows.
Mastering RAG
A comprehensive guide for building enterprise-grade RAG systemsLearn how to reduce hallucinations, apply advanced chunking techniques, and choose the right embedding, reranking, and vector database models. You’ll also learn how to overcome common RAG challenges and prepare your system for production with improved performance.
Mastering LLM-as-a-judge
Master LLM-as-a-Judge evaluation to ensure quality, catch failures, and build reliable AI appsThis comprehensive guide explores how to evaluate AI outputs using large language models themselves as automated judges, bringing precision, speed, and consistency to LLM assessment.