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Happy 10th year, JCertif!
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Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
ContinueCreated by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
QCon London: Curating a Developer Experience
In a talk at QCon London 2024 titled "Curating the Developer Experience," Andy Burgin discussed embracing Developer Experience (DevEx) as an operational philosophy at the betting company Flutter. Recognising the potential of DevEx to enhance productivity and foster collaboration and empathy between teams, Burgin explained how Flutter implemented and evolved their Developer Experience.
By Matt SaundersChallenges and Solutions for Building Machine Learning Systems
According to Camilla Montonen, the challenges of building machine learning systems are mostly creating and maintaining the model. MLOps platforms and solutions contain components needed to build machine systems. MLOps is not about the tools; it is a culture and a set of practices. Montonen suggests that we should bridge the divide between practices of data science and machine learning engineering.
By Ben LindersArticle: Unraveling the Enigma: Debunking Myths Surrounding Lambda Cold Starts
This insightful InfoQ article dispels the common myths surrounding Lambda Cold Starts, a widely discussed topic in the serverless computing community. As serverless architectures continue to gain popularity, misconceptions about Lambda Cold Starts have proliferated, often leading to confusion and misguided optimization strategies.
By Mohit PalriwalPresentation: Modern Compute Stack for Scaling Large AI/ML/LLM Workloads
Jules Damji discusses which infrastructure should be used for distributed fine-tuning and training, how to scale ML workloads, how to accommodate large models, and how can CPUs and GPUs be utilized?
By Jules DamjiGitHub Enables Dependabot via GitHub Actions, Improves Supply Chain Security
GitHub has released two features to improve the security and resilience of repositories. The first feature allows Dependabot to run as a GitHub Actions workflow using hosted and self-hosted runners. The second release introduces the public beta of Artifact Attestations, simplifying how repository maintainers can generate provenance for their build artifacts.
By Matt Campbell
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