What LLMs actually are, and why the architecture still matters in 2026
Most professionals using AI tools in 2026 have no idea what is actually happening inside them. Understanding the core mechanics of large language models does not require a PhD, and it changes how you use these systems productively.
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What a model actually does: prediction, not understanding
Tokens, training, and inference: what happens when you hit enter
The context window: the model's working memory
Hallucinations: why confident answers can be wrong
What LLMs are great at (and what they are not)
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The skinny
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