Create and manage ML pipelines with ZenML Dashboard
Display leaderboard of language model evaluations
Create and upload a Hugging Face model card
Submit models for evaluation and view leaderboard
Compare LLM performance across benchmarks
Track, rank and evaluate open LLMs and chatbots
Run benchmarks on prediction models
Browse and evaluate ML tasks in MLIP Arena
Explore and submit models using the LLM Leaderboard
Browse and filter machine learning models by category and modality
Benchmark AI models by comparison
SolidityBench Leaderboard
Display and filter leaderboard models
Zenml Server is a dedicated server for managing and optimizing machine learning (ML) workflows. It enables users to create, monitor, and compare ML pipelines efficiently. Designed for scalability and collaboration, Zenml Server is a robust tool for data scientists and ML engineers aiming to streamline their workflow management processes.
• Pipeline Management: Centralized platform for creating and managing ML pipelines.
• Experiment Tracking: Comprehensive tracking of experiments and model performance.
• Version Control: Ability to version pipelines and maintain a clear history of changes.
• Scalability: Built to handle large-scale ML workflows and distributed teams.
• Collaboration Tools: Features to enable teams to work together seamlessly.
• Extensibility: Integrates with popular ML frameworks and tools.
• Integration with ZenML Dashboard: Provides a user-friendly interface for monitoring and managing workflows.
What is the purpose of Zenml Server?
Zenml Server is designed to streamline ML workflow management by providing a centralized platform for creating, monitoring, and optimizing ML pipelines.
How do I integrate Zenml Server with existing tools?
Zenml Server supports integration with popular ML frameworks and tools through its extensible architecture. Refer to the documentation for specific integration steps.
Can Zenml Server be used by large teams?
Yes, Zenml Server is built to scale and includes collaboration features, making it suitable for large and distributed teams.