GAIA Benchmark - A benchmark for evaluating AI agents' tool usage and autonomy

## Purpose of GAIA Benchmark The primary purpose of the GAIA benchmark is to evaluate AI agents' abilities in tool usage and autonomy by presenting complex real-world problems that are simple for humans but challenging for current AI technologies. ## Number of Questions in GAIA Benchmark The GAIA benchmark includes 466 questions, with 300 of these questions' answers used for the leaderboard. ## Difficulty Levels in GAIA Benchmark The questions in the GAIA benchmark are divided into three difficulty levels, covering a wide range of topics that require general knowledge and problem-solving skills. ## Human vs. AI Performance in GAIA Human testers achieve a performance rate of 92% in the GAIA benchmark, while GPT-4 with plugins scores only 15%, highlighting the current limitations of AI systems in real-world scenarios. ## Abilities Required for GAIA Problems Solving GAIA problems requires multiple abilities, including reasoning, multimodal processing (e.g., handling images and text), web browsing, and tool usage proficiency. ## Supporters of GAIA Benchmark The GAIA benchmark project is supported by Meta AI, HuggingFace, and AutoGPT teams. ## Significance of GAIA Leaderboard The GAIA leaderboard provides a platform for researchers and developers to track and compare the performance of different AI agents, helping to identify areas for improvement and encouraging innovation. ## Resources for GAIA Users Key resources for researchers and developers using GAIA include the organization page, dataset, research paper, leaderboard, blog posts, and code repository. These resources can be accessed via the following URLs: - Organization page: [gaia-benbenchmark](https://huggingface.co/gaia-benbenchmark) - Dataset: [GAIA dataset](https://huggingface.co/datasets/gaia-benbenchmark/GAIA) - Research paper: [GAIA paper](https://huggingface.co/papers/2311.12983) - Leaderboard: [leaderboard](https://huggingface.co/spaces/gaia-benbenchmark/leaderboard) - Blog post: [beating-gaia](https://huggingface.co/blog/beating-gaia) - Code repository: [GAIA code](https://github.com/aymeric-roucher/GAIA) ## Performance of Top AI Systems in GAIA The performance of top AI systems in the GAIA benchmark varies significantly. For example, Transformers Agent scores 44.2% on the validation set and 33.3% on the test set, performing best on level-three questions. Autogen-based submissions score 40%, while GPT-4-Turbo scores less than 7%. These results highlight the challenges even top AI systems face in the GAIA benchmark. ## Philosophical Approach of GAIA Unlike other AI benchmarks that focus on tasks humans find difficult, GAIA emphasizes that AI systems should demonstrate robustness comparable to that of an average human on simple problems. This approach provides a new perspective for AI research, particularly in the development of general intelligence. ### Citation sources: - [GAIA Benchmark](GAIA Benchmark) - Official URL Updated: 2025-03-31