--- title: "Why grabbing a model and playing won’t get you what you want" url: https://daily.dev/posts/why-grabbing-a-model-and-playing-won-t-get-you-what-you-want-k24fmwmbi source_url: https://allthingsopen.org/articles/why-grabbing-ml-model-wont-get-what-you-want type: article source: "All Things Open" published: 2026-05-28T06:38:39.491Z updated: 2026-05-28T06:39:00.949Z tags: ["machine-learning", "pytorch", "keras"] reading_time: 3 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Why grabbing a model and playing won’t get you what you want **[All Things Open](https://daily.dev/sources/allthingsopen)** · 3 min read · 0 upvotes · 0 comments ## Summary Machine learning should be approached as a science problem, not a software engineering problem. Before grabbing libraries like PyTorch or Keras and experimenting, developers need to understand the underlying math, hardware constraints, and data distribution principles. ML optimization requires a top-down approach: clarify the problem first, then determine whether you need fine-tuning, model alignment, data work, or hardware fixes. Fundamentals matter more than syntax — without understanding why models behave as they do, you'll get some results but not the ones you want. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [The AI Learning Trap: Why Fundamentals Matter More Than Frameworks](https://daily.dev/posts/the-ai-learning-trap-why-fundamentals-matter-more-than-frameworks-uhwwx3zdc) · Medium · 0 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#pytorch](https://daily.dev/tags/pytorch), [#keras](https://daily.dev/tags/keras) [View this post on daily.dev](https://daily.dev/posts/why-grabbing-a-model-and-playing-won-t-get-you-what-you-want-k24fmwmbi)