The Amazon SageMaker Orb is now available! We are excited to share a new orb enabling users to streamline the deployment of machine learning models to Amazon SageMaker. The audio narration of this video was generated by an AI model.

In this episode, Rob sits down with Lewis Menelaws from Coding with Lewis, a prominent social media influencer and content creator specializing in entertaining and empowering software developers. Together, they explore the evolving landscape of learning the craft, drawing comparisons between the present day and the learning experiences of 25 years ago.

In this episode, Rob explores the fascinating crossroads of machine learning and software engineering with Gideon Mendels, the co-founder and CEO of Comet ML. Gideon navigates the often ambiguous world of training ML models, focusing on building a common language between software engineers and data science teams. Gain valuable insights into fostering mutual understanding between these two disciplines and aligning the possibilities of ML with organizational needs in this thought-provoking episode.

CircleCI VP Product, Aakar Shroff, shares an in-depth look at just-launched and upcoming features. This 60–minute webinar includes a quick overview of new features you may not have seen yet, a peek at what’s to come, and exclusive early access to preview features.

In this episode, dive deep into the world of AI-enabled products and the push to explore and integrate them at CircleCI. Rob is joined by Aakar Shroff, CircleCI’s VP of product. Aakar shares valuable insights into AI product development and how AI tools can be leveraged to streamline software delivery processes.

Introducing Debug-GPT, your new debugging companion for Chrome. In this video, learn how to: DebugGPT is the latest release from Continuous Labs, CircleCI open source team.

Michael Webster, principal engineer at CircleCI, talks to Rob about testing AI-enabled applications. In this episode, learn how to face the unique challenges posed by the probabilistic and non-deterministic nature of AI output, as well as the importance of subjective evaluation criteria. Webster covers how model graded evals can be used to test AI applications, and the importance of caution in using this approach.

In this episode, you’ll learn how to empower your team to do the most challenging thing when it comes to AI - getting started! Rob is joined by Kira Muehlbauer and Ryan Hamilton, two engineers who worked on building a groundbreaking feature at CircleCI called the AI error summarizer. Discover their insights into the process of building AI products, the challenges they faced, and the valuable lessons they learned along the way.

Continuous Labs by CircleCI is launching Config.tips, your go-to resource for mastering configuration files and simplifying your development workflow. In this video, we’ll take you on a tour of Config.tips, showcasing how it can empower developers like you to tackle even the most complex config challenges with ease. Whether you’re configuring databases, setting up CI/CD pipelines, or working with any tech stack, we want to build the biggest collaborative platform to get you covered.

To learn more about parallelism and resource classes, book some time with us here.