BlogAI/ML16

Browse articles that include the AI/ML tag

Recent posts

DevSecOps

GitLab’s 2023 predictions: What’s next for DevSecOps?

Check out insights on securing the supply chain, new uses for AI/ML, and more.

DevSecOps

DevSecOps platforms give SMBs security muscle

A single platform enables teams to build, test, and deploy secure software with fewer resources.

Insights

How is AI/ML changing DevOps?

Can DevOps help AI/ML find maturity? Here are questions to consider.

DevSecOps

UnReview a year later: How GitLab is transforming DevOps code review with ML-powered functionality

Learn how last year's acquisition has resulted in impactful features for the One DevOps Platform.

Insights

Top 10 ways machine learning may help DevOps

Is machine learning part of your DevOps plan? Here are some ways ML could fit right in.

Engineering

Pipelines-as-Code: How to improve speed from idea to production

Pipelines-as-Code streamline automatic building, testing, and deploying of applications using prebuilt pipelines and infrastructure components. Here's how it works.

DevSecOps

The road to smarter code reviewer recommendations

Machine learning is coming to GitLab's code review process. Here's what you need to know, and how you can help!

Engineering

How Comet can streamline machine learning on The GitLab DevOps Platform

Here's a step-by-step look at how to bring ML into software development using Comet on GitLab's DevOps Platform.

News

How machine learning ops works with GitLab and continuous machine learning

We share different machine learning use cases for CML projects using GitLab CI.

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