Create Machine Learning pipelines with ZenML
Measure over-refusal in LLMs using OR-Bench
Persian Text Embedding Benchmark
Find recent high-liked Hugging Face models
Evaluate LLM over-refusal rates with OR-Bench
Browse and evaluate ML tasks in MLIP Arena
Convert Stable Diffusion checkpoint to Diffusers and open a PR
Explore and submit models using the LLM Leaderboard
Retrain models for new data at edge devices
View and submit LLM benchmark evaluations
Browse and submit LLM evaluations
Calculate GPU requirements for running LLMs
Evaluate AI-generated results for accuracy
Zenml Server is a tool designed to streamline the creation and management of Machine Learning (ML) pipelines. It allows users to build, deploy, and scale their ML workflows efficiently, making it easier to collaborate and manage complex ML projects.
• Pipeline Management: Create and manage end-to-end ML workflows with ease.
• Integration: Seamlessly integrate with popular ML frameworks and tools.
• Extensibility: Customize workflows to fit specific project requirements.
• Collaboration: Support for team-based workflows and shared resources.
• Version Control: Track changes and manage different versions of your pipelines.
• Performance Optimization: Tools to optimize and monitor pipeline performance.
What is Zenml Server used for?
Zenml Server is primarily used for managing and optimizing Machine Learning pipelines, enabling teams to streamline their ML workflows and improve collaboration.
How do I install Zenml Server?
Zenml Server can be installed using Docker. Follow the installation guide on the official ZenML documentation for step-by-step instructions.
Can Zenml Server handle large-scale ML workflows?
Yes, Zenml Server is designed to scale with your needs and can handle large-scale ML workflows efficiently.