Manage and visualize AI pipelines
Submit evaluations for speaker tagging and view leaderboard
Explore and submit NER models
Select and analyze data subsets
Evaluate diversity in data sets to improve fairness
Evaluate model predictions and update leaderboard
Multilingual metrics for the LMSys Arena Leaderboard
Explore tradeoffs between privacy and fairness in machine learning models
Visualize amino acid changes in protein sequences interactively
Analyze and visualize Hugging Face model download stats
Cluster data points using KMeans
Analyze data to generate a comprehensive profile report
Generate synthetic dataset files (JSON Lines)
Chai Space is a comprehensive platform designed to help users manage and visualize AI pipelines. It provides a user-friendly environment to streamline the development and monitoring of AI workflows, enabling better organization and optimization of complex AI processes.
• Pipeline Visualization: Get a clear visual representation of your AI workflows and processes.
• Real-Time Monitoring: Track the performance and progress of your AI pipelines in real-time.
• Customizable Dashboards: Tailor your workspace to focus on the metrics and data points that matter most to your project.
• Collaboration Tools: Work seamlessly with team members by sharing insights and coordinating efforts.
• Integration: Easily integrate with popular AI frameworks and tools to maintain your existing workflow.
What frameworks does Chai Space support?
Chai Space integrates seamlessly with popular AI frameworks such as TensorFlow, PyTorch, and Keras.
Can I monitor my pipelines in real-time?
Yes, Chai Space offers real-time monitoring, allowing you to track the progress and performance of your AI pipelines as they run.
How do I collaborate with team members in Chai Space?
Collaboration is straightforward—simply share your workspace with team members, and they can contribute to and view the pipeline in real-time.