---
# System prepended metadata

title: An In-depth Survey of Large Language Model-based Artificial
tags: [LLM-based Agent]

---

# An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

## 1. Introduction

- RL agents data inefficient -> LLM agents

## 2. LLMs vs Traditional Agents

- LLMs have great generalizability, reasoning, and use natural language

## 3. Components of AI Agents

### 3.1 Overview

### 3.2 Planning

![image](https://hackmd.io/_uploads/SJnu5C3wT.png)

#### 3.2.1 Task Decomposition

#### 3.2.2 Self-Reflection

### 3.3 Memory

![image](https://hackmd.io/_uploads/B1M_qRhP6.png)

### 3.4 Tool-Use

## 4. Application

![image](https://hackmd.io/_uploads/HJb4f1Tva.png)

## 5. Benchmarks

    