Blog AI/ML

Browse articles that include the AI/ML tag

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Developing GitLab Duo: AI Impact analytics dashboard measures the ROI of AI Our blog series continues spotlighting a new feature that provides detailed metrics, such as the Code Suggestions Usage Rate, to help understand the effectiveness of AI investments. Author: Haim Snir Read Post
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Developing GitLab Duo: How we validate and test AI models at scale

Our blog series debuts with a behind-the-scenes look at how we evaluate LLMs, match them to use cases, and fine-tune them to produce better responses for users.

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A developer's guide to building an AI security governance framework

Learn the strategies and practices to adopt for secure and responsible development and use of AI.

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GitLab Duo Chat, your at-the-ready AI assistant, is now generally available

Explore a real-world example of how our versatile conversational interface for GitLab Duo helps developers onboard faster and write secure code more efficiently.

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Introducing the GitLab AI Transparency Center

This new initiative will help our community understand how we uphold governance and transparency in our AI products.

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How to successfully deliver your software development roadmap

Here are three common blockers and how to overcome them to fully realize the ROI of a DevSecOps platform investment.

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10 best practices for using AI-powered GitLab Duo Chat

Explore tips and tricks for integrating GitLab Duo Chat into your AI-powered DevSecOps workflows. Plus, expert advice on how to refine chat prompts for the best results.

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How to put generative AI to work in your DevSecOps environment

Learn how artificial intelligence, when integrated throughout the platform, can reap tangible rewards for organizations and their DevSecOps teams.

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Understand and resolve vulnerabilities with AI-powered GitLab Duo

Developers can find and fix vulnerabilities with auto explanation and auto-generated merge requests, ensuring a streamlined development process.

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Measuring AI effectiveness beyond developer productivity metrics

AI assistants are here, yet measuring AI's impact on productivity isn’t figured out. Here’s why it’s a difficult problem and how GitLab is solving it.

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