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#179 - Grok 2, Gemini Live, Flux, FalconMamba, AI Scientist
Last Week in AI
Diversity of Data Can Dilute Insight
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More data is not always beneficial, particularly when it originates from diverse sources with varying characteristics. In the context of language models, incorporating data written by different authors complicates the model's task of selecting a consistent writing style, leading to increased cognitive resource consumption. This issue parallels challenges in the medical domain where combining data from various hospitals can disrupt system performance, especially when the additional data does not align with existing trends. Ultimately, adding mismatched data can detract from the overall effectiveness, rather than improve it.
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