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Seldon Documentation Resources

Real-time machine learning deployment with enhanced observability for any AI application or system, managed your way.

Find out more about Seldon at: seldon.io

Start with Core 2

Core 2 is a modular framework with a data-centric approach, designed to help businesses harness the growing complexities of real-time deployment and monitoring.

Get Started

Concepts of Core 2

Provides a framework for understanding key functionalities, architectures, and workflows within the Machine Learning system.

Install Core 2

Learn about installing Core 2 in various setups for different stages of development lifecycle.

Use MLServer with Core 2

Learn more about how Core 2 integrates seamlessly into your MLOps workflows.

Core 2 + Modules

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Core 2

A modular, data-centric framework for scaling ML and LLMOps in production, keeping data in your control to meet security and compliance needs.

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ML Server

Specialized lightweight API server that receives input data, run through trained models and returns predictions or outputs.

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LLM Module

Deploy GenAI workflows with observability, prompt orchestration and production-ready scaling – with built-in and enabled guardrails.

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Model Performance Metrics (MPM) Module

Optimize production classification & regression models with model quality insights.

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Alibi Detect Module

Library of outlier, adversarial and drift detectors methods supported across a broad coverage of types of use cases.

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Alibi Explain Module

Library of model inspection, interpretation and explanation methods across global, local, black box and white box models.

Other Solutions

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Core 1 A cloud-agnostic, open-source platform for deploying machine learning models.

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Enterprise Platform Provides oversight and governance for Machine Learning and LLM deployments.

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