Why do so many aspiring AI engineers stay stuck? They focus on the tool, not the concept. The AI tooling ecosystem moves incredibly fast — new libraries, frameworks, and model providers drop every single week. If your knowledge is tied to one tool's API, you're on a treadmill, constantly relearning the next thing.
Focus on the underlying concepts instead. When you understand the concepts, you can pick up any tool extremely quickly, but when you only learn the tool, you start from scratch every time.
Frameworks are just implementations of the details — the concepts are what make you an actual engineer.
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