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You type a sentence and assume the model receives it as you wrote it. It does not. What actually happens to your text before the model ever sees it.
What a large language model actually is, and why these models are called 'large' — the foundation piece, before tokenization and everything built on top of it.
You already own 60–70% of the skillset. This roadmap adds only the ML layer on top — the fastest career pivot in tech, in five phases over three to five months.
Seven specializations — LLMOps, model optimization, production Kubernetes, advanced monitoring, performance and load testing, system design for ML, and soft skills. Pick two or three and go deep.
The roadmap I would give my younger self — five phases over six to nine months, built entirely on free and open-source resources, because the real knowledge in this field lives on GitHub and YouTube.
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Thousands of engineers across MENA are already in the room — reviewing each other’s code, sharing openings, and getting unblocked. It costs nothing.