Author: Yizhe Xin Introduction While large language models (LLMs) excel at straightforward tasks, they often struggle with complex multi-step reasoning. Chain-of-Thought (CoT) and its automated variant Auto-CoT address this limitation by explicitly guiding models to generate intermediate reasoning steps. This blog explores these techniques with code examples and implementation strategies. Chain-of-Thought (CoT) Explained Core Concept […]

In today’s rapidly evolving artificial intelligence landscape, AI agents have become powerful tools for automating complex tasks and decision-making processes. This blog explores the fascinating world of AI agents, particularly focusing on multi-agent systems and how they can be implemented using Python and LangGraph. What is an AI Agent? An AI agent is a software […]