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AI/ML
Developing GitLab Duo series
Our unique blog series, written by our Product and Engineering teams, takes you behind the scenes of our AI innovation and guides you through our newest AI features powering your DevSecOps workflow.
AI/ML
Inside look: How GitLab's Test Platform team validates AI features
Learn how we continuously analyze AI feature performance, including testing latency worldwide, and get to know our new AI continuous analysis tool.
AI/ML
Developing GitLab Duo: Secure and thoroughly test AI-generated code
Learn step-by-step how to enhance AI-generated code reliability and security using GitLab Duo and GitLab Pages (includes code samples and prompts).
AI/ML
GitLab Duo Chat 101: Get more done on GitLab with our AI assistant
In this first article in our series learn how Chat can improve developer productivity – for example, by summarizing issues – and how to improve prompts to get better answers faster.
AI/ML
Developing GitLab Duo: How we are dogfooding our AI features
As part of our blog series, we share real-world examples of how we integrate AI throughout our software development lifecycle and how we use metrics to gauge their success.
AI/ML
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.
AI/ML
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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