Evaluating LLMs as Agents

A Comprehensive Guide to Using AgentBench

Introduction

In an age where Large Language Models (LLMs) dominate the artificial intelligence arena, understanding their capabilities and behaviors is paramount. AgentBench, a powerful tool found on GitHub, is specifically designed for this purpose. For those wanting to deep dive into LLM evaluations, this article serves as your comprehensive guide. Let’s embark on this technological voyage!

GitHub - THUDM/AgentBench: A Comprehensive Benchmark to Evaluate LLMs as Agents

Setting up AgentBench

Before anything else, you need to have the proper environment set up. Start by cloning the AgentBench repository:

git clone https://github.com/THUDM/AgentBench.git
cd AgentBench

Establishing a local copy of AgentBench ensures you have direct access to its full suite of features, enabling efficient evaluations.

Configuring the Environment

AgentBench relies on specific dependencies. Install them using: