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  1. Motivation: Beyond the Dust As a tech enthusiast, I have a habit of accumulating “retired” hardware.

  2. Smoke Testing for ML Pipelines

    When working on machine learning pipelines, most bugs aren’t about bad models — they’re about broken plumbing.

  3. This Christmas I wanted to set my-self a fun challenge.

  4. The DBT of AI

    AI is evolving rapidly with new models every day.

  5. Evaluating AI Models in Production

    Knowing the performance of an AI model is key to confidently delivering superior AI products.

  6. Many developers often lean towards tools that “feel good” and argue they have good Developer Experience (DX).

  7. Navigating the landscape of MLOps can be an overwhelming task.