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Hallucinations and Accuracy – A Structural Limitation

LLMs can produce false but convincing statements because they aim to appear plausible, not to tell the truth. The phenomenon of hallucination in large language models represents not a bug to be fixed, but a fundamental characteristic that emerges from the optimization objective itself. When we train...

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The Transformer Architecture – The Engine of Modern Language

The Transformer is the “engine” that allows LLMs to understand the context of very long texts and connect distant words to each other. The architectural revolution that enabled modern language models emerged from a fundamental reimagining of how computational systems process sequential i...

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