AgentBench: Evaluating LLMs as Agents

Evaluating Large Language Models (LLMs) as agents in interactive environments, highlighting the performance gap between API-based and open-source models, and introducing the AgentBench benchmark.

arxiv.org

Saved by Darren LI

RelatedCollectionsHighlightsNotes

GitHub - arthur-ai/bench: A tool for evaluating LLMs

Embracing Agentic AI: Empowering Artificial Intelligence as Active Agents

Eva Kaushik medium.com

Take a look at our official page for user documentation and examples: langtest.org

Key Features

Generate and execute more than 50 distinct types of tests only with 1 line of code

Test all aspects of model quality: robustness, bias, representation, fairness and accuracy.

Automatically augment training data based on test results (for select models)

GitHub - BrunoScaglione/langtest: Deliver safe & effective language models

What I learned from looking at 900 most popular open source AI tools

Chip Huyen huyenchip.com