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Articole: 10
  1. Understanding GPT Tokenization

    Introduction Tokenization isn't just a billing detail when using Large Language Models (LLMs), it shapes prompt budgets, context limits, and is often a key reason behind a model's surprising behavior.

  2. What Counts as AI‑Generated?

    I still have the first camera I ever used - a 126 box camera, similar to a Hawekeye II, that was basically a toy even in its own era.

  3. Introducing the Behavioral Layer

    Modern systems increasingly receive free‑text input, either from humans or from language models.

  4. Types of AI Models

    It is a common misconception that to have an Artificial Intelligence you must have some form of machine learning.

  5. After a long pause, I’m excited to share some great news: the Valley of the Sun .NET user groups are officially restarting in 2026!

  6. Recently, I encountered a confusing issue with Visual Studio Code where the source control tab wasn't showing my modified files anymore.

  7. An open letter to Senators Kelly and Gallego urging them to oppose any weakening of the protections found in Section 230 of the Communications Decency Act (CDA) of 1996.

  8. Every developer has faced it: the temptation to make identifiers "smarter" by embedding information.

  9. TLDR: Code Coverage is the Wrong Target Code coverage metrics HURT code quality, especially when gating deployments, because they are a misleading target, prioritizing superficial benchmarks over meaningful use-case validation.

  10. Imagine you're working with a Flight entity within an airline management system.