Tagged articles

evaluator-optimizer

3 articles · Page 1 of 1

Jun 10, 2026 · Artificial Intelligence

Building a Production‑Ready AI Customer Service Bot: 6 Deployment Checkpoints with Spring AI

The article explains why Spring AI lacks a dedicated Agent framework, then walks through six concrete orchestration patterns—Chain, Routing, Parallelization, Orchestrator‑Workers, Evaluator‑Optimizer, and a selection guide—showing Java code, reasoning, and trade‑offs for building a multi‑step, production‑grade customer‑service chatbot.

agent orchestrationchain workflowcustomer service bot

0 likes · 8 min read

Building a Production‑Ready AI Customer Service Bot: 6 Deployment Checkpoints with Spring AI

AgentGuide

Mar 30, 2026 · Artificial Intelligence

What Is a Multi-Agent System? Three Core Working Modes Interviewers Expect

The article explains that multi-agent systems typically operate in three patterns—sequential execution, parallel execution, and an evaluator-optimizer loop—covers when each pattern is appropriate, and offers interview tips on how to discuss these designs effectively.

AI interviewAgent ArchitectureSequential Execution

0 likes · 3 min read

What Is a Multi-Agent System? Three Core Working Modes Interviewers Expect

AI Algorithm Path

May 8, 2025 · Artificial Intelligence

Five Essential AI Agent Workflow Design Patterns

This article introduces five core workflow design patterns for AI agents—Prompt Chaining, Routing, Parallelization, Orchestrator‑Worker, and Evaluator‑Optimizer—explaining their mechanics, concrete examples, suitable scenarios, and how they help build reliable, maintainable LLM‑driven systems.

AI AgentsLLM workflowOrchestrator-Worker

0 likes · 10 min read

Five Essential AI Agent Workflow Design Patterns