Arxiv Preprint - GAIA: a benchmark for General AI Assistants

In this episode we discuss GAIA: a benchmark for General AI Assistants by Grégoire Mialon, Clémentine Fourrier, Craig Swift, Thomas Wolf, Yann LeCun, Thomas Scialom. The paper introduces GAIA, a benchmark designed to assess the capabilities of General AI Assistants in performing tasks that are simple for humans yet difficult for AIs, such as reasoning, multi-modal tasks, web browsing, and general tool-use. It highlights a significant performance discrepancy, with humans scoring a 92% success rate contrasting with a mere 15% for an advanced AI model (GPT-4 with plugins). The authors propose this benchmark as a measure to guide AI research towards achieving robustness in tasks where humans excel, challenging the prevailing focus on skills that are difficult for humans, and establishing a leaderboard for tracking AI progress.