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Introduction:
Openlayer is an enterprise-grade testing and observability platform for machine learning. It facilitates team collaboration for identifying and debugging model and data issues while managing version control. The platform provides unified evaluation, observability, and governance throughout the AI lifecycle, from traditional ML to LLMs. By supporting continuous testing and monitoring, Openlayer helps teams transition AI systems from prototype to production. It integrates with Git, offers SDKs, and provides customization through a CLI and REST API.
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Openlayer Product Information
What is Openlayer?
Openlayer is an enterprise-grade testing and observability platform for machine learning. It facilitates team collaboration for identifying and debugging model and data issues while managing version control. The platform provides unified evaluation, observability, and governance throughout the AI lifecycle, from traditional ML to LLMs. By supporting continuous testing and monitoring, Openlayer helps teams transition AI systems from prototype to production. It integrates with Git, offers SDKs, and provides customization through a CLI and REST API.
How to use Openlayer?
Openlayer is used to test, monitor, and govern AI systems by integrating into your existing workflow via Git, SDKs, and REST APIs. You can create tests, monitor production requests, trace system requests in real-time, annotate requests with feedback, and collaborate with your team within a shared workspace.
Openlayer's Core Features
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AI evaluation
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Observability
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AI governance
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Testing and monitoring
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Collaboration
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Integration with Git, SDKs, and REST APIs
Openlayer Use Cases
#1
Test AI systems ranging from ML to LLMs
#2
Monitor production requests in real-time
#3
Debug issues within models and data
#4
Ensure AI compliance and governance
#5
Improve model performance through error analysis
#6
Streamline the evaluation and analysis of models
FAQ from Openlayer
What is Openlayer? +
Openlayer is a testing and observability platform for machine learning that enables teams to collaborate on identifying issues in models and data, debugging them, and committing new versions.
What are the key features of Openlayer? +
Key features include AI evaluation, observability, governance, testing and monitoring, team collaboration, and integration support via Git, SDKs, and REST APIs.
How does Openlayer help with AI compliance? +
Openlayer provides tools for AI compliance and governance, enabling organizations to test, monitor, and govern their AI systems to meet regulatory requirements.
What integrations does Openlayer support? +
Openlayer integrates with Git, offers SDKs for various programming languages, and works with all LLM providers. It is fully customizable using a CLI and REST API.
Openlayer Pricing
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