Google DeepMind released Gemma 4 on April 2, 2026 under Apache 2.0. It’s their fourth-generation open model family, and it runs locally with surprisingly little friction. Here are three ways to get it going, depending on what hardware you have in front of you. Table of contents Option 1: On your phone No account, no […]

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Large Language Models (LLMs) all predict text, but they differ a lot in how they follow instructions, use context, handle tools, and optimize for safety, speed, or cost. If you treat them as interchangeable, you’ll ship brittle prompts. If you treat them as different runtimes with different affordances, you’ll get reliable results. This post explains the major differences across […]

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A practical guide for software engineers navigating the evolving landscape of Large Language Models Introduction: Why This Matters As a developer in 2025, you’re likely interacting with Large Language Models (LLMs) daily—whether through coding assistants, chat interfaces, or integrated APIs. But here’s the thing: not all LLMs are created equal, and the way you communicate with […]

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