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The AI Framework group accelerates the adoption and innovation of advanced AI/ML technologies while ensuring quality. We develop tools for engineers and product teams to enhance their product offerings, enabling them to focus on customer needs and create solutions best suited to their use cases.
AI is evolving rapidly, and the AI Framework group leads the way with innovative approaches to improve efficiencies across the entire DevSecOps cycle. Our Abstraction Layer and AI Gateway provide plug-and-play infrastructure, bringing AI as a service to the GitLab platform.
We aim to:
We build reliable, scalable AI infrastructure that provides GitLab's AI feature teams with comprehensive, unified tools for testing, deployment, and monitoring.
By consolidating evaluation tools, optimizing datasets, and strengthening infrastructure capabilities, the team delivers reliable and scalable AI models while maintaining high standards of reliability and performance across all GitLab's AI features.
The AI Framework team lays the foundation for GitLab's AI initiatives by developing and maintaining robust, scalable infrastructure. This infrastructure supports unified testing, deployment, and monitoring, ensuring AI models are integrated, validated, and optimized efficiently. By consolidating tools and processes, the AI Framework team accelerates AI-powered feature development and ensures GitLab's infrastructure scales with increasing AI demands.
The AI Gateway is a standalone service that provides access to AI features for all GitLab users, whether using self-managed, dedicated, or GitLab.com instances.
Key Features:
The Abstraction Layer standardizes and simplifies the integration of AI/ML technologies within GitLab, providing an extendable GraphQL API called aiAction.
Key Features:
aiAction input with key/value pairsThe Consolidated Evaluation Framework (CEF) provides a comprehensive system for evaluating and optimizing GenAI models within GitLab.
Key Features:
The CEF integrates with our AI Gateway and Abstraction Layer, providing a unified workflow for model selection, evaluation, and deployment that helps teams deliver more reliable and effective AI-powered features.
This group consists of the following categories:
Last Reviewed: 2025-06-11
Last Updated: 2025-06-11