Create Machine Learning pipelines with ZenML
Compare and rank LLMs using benchmark scores
Track, rank and evaluate open LLMs and chatbots
Persian Text Embedding Benchmark
Submit deepfake detection models for evaluation
View and submit machine learning model evaluations
Generate and view leaderboard for LLM evaluations
Calculate survival probability based on passenger details
Retrain models for new data at edge devices
Track, rank and evaluate open LLMs and chatbots
Evaluate open LLMs in the languages of LATAM and Spain.
Display model benchmark results
Benchmark LLMs in accuracy and translation across languages
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.