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IEEE Computer Society: Retrieval Quality, Not LLM Size, Now Drives AI Product Performance

IEEE Computer Society highlights that most AI products rely on large language models for reasoning and generation, but these models depend heavily on retrieving relevant background information before producing answers. When that retrieved data is outdated, weak, or irrelevant, the resulting output suffers regardless of the model's sophistication.

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