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Articole: 9

  1. Code Readability

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    I appreciate and value those moments when I realize that I need to change my mind about something.

  2. Jev, and the Problem of Asking a Chat Model to Decide

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    Jev, “a new class of frontier models built to make fast, structured decisions”, was released just a few days ago (to a lot of fanfare), and I was teeming with excitement over how it could solve a problem I’ve run into many times with chat-based LLMs: reac…

  3. Coding with AI

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    Coding with AI feels less like just a new tool and more like a new way of thinking.

  4. Noble’s Coding Principles — Updated for the AI Era

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    In this ever-evolving world of software development, Noble’s coding principles remain remarkably relevant: 1️⃣ Someone unfamiliar with your project should be able to look at your computer files and understand in detail what you did and why. 2️⃣Everything…

  5. The Two Archetypes of Data Scientists: Jack and Jane

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    The post The Two Archetypes of Data Scientists: Jack and Jane appeared first on Derive.

  6. Writing In the Age of AI

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    The post Writing In the Age of AI appeared first on Derive.

  7. AI Needs More Data Science Thank You Might Think

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    The post AI Needs More Data Science Thank You Might Think appeared first on Derive.

  8. 8 Key Principles for Applied AI

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    AI is moving fast — sometimes too fast.

  9. The Coding Evolution of a Data Scientist: 20 Years, 4 Eras

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    Looking back over the past 20+ years, my coding style and experience have evolved dramatically.