Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 18, 2025 · Artificial Intelligence

How ReAct and Reflexion Boost Large Language Models for Complex, Real‑World Tasks

The article explains the limitations of large language models on multi‑step reasoning, real‑time information retrieval, and planning, then introduces the ReAct (Reasoning + Acting) framework and its Reflexion extension, detailing their mechanisms, examples, performance gains, practical applications, and future research directions.

Agentic AILLM ReasoningReAct
0 likes · 16 min read
How ReAct and Reflexion Boost Large Language Models for Complex, Real‑World Tasks
Data Thinking Notes
Data Thinking Notes
Oct 12, 2025 · Artificial Intelligence

Mastering AI Agent Planning: Architectures, Strategies, and Real-World Implementations

This article provides a comprehensive guide to AI Agent planning modules, covering their core responsibilities, architectural designs, major planning paradigms such as ReAct, Plan‑and‑Execute, Hierarchical Planning and Reflexion, detailed prompt engineering, execution frameworks, and practical case studies in data analysis and intelligent customer service.

AI PlanningAgent architectureReAct
0 likes · 25 min read
Mastering AI Agent Planning: Architectures, Strategies, and Real-World Implementations
Qborfy AI
Qborfy AI
Jul 11, 2025 · Artificial Intelligence

Building a Dynamic Agent Workflow with LangGraph: A Step‑by‑Step Guide

This tutorial walks through creating a full‑featured LLM Agent workflow using LangGraph, covering goal definition, task decomposition, execution nodes, state updates, re‑planning logic, and user feedback, while comparing ReAct and Reflexion approaches and providing complete Python code examples.

Agent WorkflowLLMLangChain
0 likes · 11 min read
Building a Dynamic Agent Workflow with LangGraph: A Step‑by‑Step Guide