<ul><li>In the GenAI arms race, larger models like 7B, 70B, and 400B parameters are gaining popularity.</li><li>However, feeding these massive models with low-quality or irrelevant data limits their true potential.</li><li>The importance of data weight is emphasized over model weight, as data quality influences the model's performance significantly.</li><li>Without robust, domain-relevant data, even larger models are prone to generating inaccurate results or hallucinations.</li></ul>

Why Model Weight Doesn’t Matter Without Data Weight

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