xbench - AI benchmarking tool launched by Sequoia China

What is xbench?

xbench is an AI benchmarking tool launched by Sequoia China. Based on a dual-track evaluation system, it assesses the upper limit of AI system's capability and technology boundary on one hand, and quantifies the utility value of AI system in real scenarios on the other hand. xbench is based on the evergreen mechanism of evaluation, and dynamically updates the test content to ensure the timeliness and relevance of the evaluation. In the first phase, we launched two core assessment sets: xbench-ScienceQA and xbench-DeepSearch. xbench builds tasks, execution environments, and validation methods that are aligned with experts' behaviors, annotates the economic value of tasks, and presets the technology-market fit point target. xbench also builds a task, execution environment, and validation method that are aligned with experts' behaviors. xbench builds tasks, execution environments and validation methods aligned with experts' behavior, labels the economic value of tasks, presets the technology-market fit point target, and strives to provide scientific and long-term evaluation guidelines for AI technology breakthroughs and product iterations, and promotes the utility and value of AI systems in real-world scenarios.

Key features of xbench

• Two-Track Assessment: Both assessing the upper limit of the AI system's capabilities and quantifying the value of its utility in real-world scenarios.
• Evergreen Assessment Mechanism: Dynamically update based on test content to keep evaluation current, track model capability evolution, and capture key breakthroughs in Agent product iterations.
• Core set of assessments: xbench-ScienceQA and xbench-DeepSearch, which test subject knowledge reasoning and deep search skills, respectively, and are regularly updated with questions.
• Vertical Domain Smart Body Review: Constructing tasks, environments, and validation methods aligned with expert behavior, and labeling the economic value of tasks.
• Real-time updates with LeaderBoard: Real-time update of review results to show the performance of different Agent products.

The official website address for xbench

• Project website:: https://xbench.org/
• GitHub repository:: https://github.com/xbench-ai/xbench-evals
• HuggingFace Model Library::
  • https://huggingface.co/datasets/xbench/ScienceQA
  • https://huggingface.co/datasets/xbench/DeepSearch

How to use xbench

• Visit the official website:Visit xbench's official program website.
• Understanding Functionality and Assessment Sets:Check out the main features of xbench and an introduction to the core set of assessments on the homepage of the official website or related pages.
• Select the assessment set:Find the evaluation set portal on the official website, select the evaluation set of interest for testing, and click Contact xBench.
• Prepare the test environment:Prepare the Agent according to the requirements of xbench. make sure that it is compatible with xbench's testing framework, including input and output formats, interface configuration, etc.
• Run the test:Follow the instructions from xbench to plug the AI system into the test environment. Run the test task and let the AI system process the test data provided by xbench to generate results.
• View Results:When the test is complete, view the results.

Core Benefits of xbench

• Two-Track Assessment System: xbench is based on a two-track evaluation system that assesses the upper limit of the AI system's capabilities and quantifies the utility value in real scenarios, providing a comprehensive performance evaluation.
• Evergreen Assessment Mechanism: xbench's evergreen evaluation mechanism dynamically updates the test content to ensure the timeliness and relevance of the evaluation, and continuously tracks the evolution of model capabilities.
• Core set of assessments: xbench provides core assessment sets such as xbench-ScienceQA and xbench-DeepSearch, and regularly updates the topics to ensure the diversity and novelty of the test content.
• Vertical Domain Smart Body Review: xbench builds tasks and validation methods aligned with expert behavior, covering multiple verticals, marking up the economic value of tasks, and helping companies assess the business potential of AI tools.
• Real-time updates with LeaderBoard: xbench updates the evaluation results in real time, showing the performance of different Agent products on each evaluation set, providing industry reference and real-time feedback.
• Promote the establishment of industry standards: xbench collaborates with industry experts to build dynamic evaluation sets, promote the ground application of Agent in more vertical fields, and establish industry standards for AI applications.

Who xbench is for

• AI developer: It is necessary to evaluate and optimize the performance of AI models, and obtain the performance data of models in different scenarios based on xbench to provide a basis for model improvement.
• data scientist: Focus on the theoretical capability ceiling and practical application effect of AI models, and use xbench's two-track evaluation system to get a comprehensive understanding of model performance.
• Corporate decision makers: Evaluate the business potential and utility value of AI tools, quantify the performance of AI systems in real-world scenarios with the help of xbench, and assist in business decision-making.
• industry expert: Participate in the construction of industry-specific dynamic evaluation sets, promote the application of AI in vertical fields, and establish industry standards.
• research organization: Conduct AI technology research, track model capability evolution and capture technology breakthroughs based on xbench's evergreen evaluation mechanism and core evaluation set.