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The quantity and quality of data directly impact the efficacy and accuracy of AImodels. Getting accurate and pertinent data is one of the biggest challenges in the development of AI. LLMs require current, high-quality internet data to address certain issues.
After all, companies cant have AI development without fixing data first, and leaders are pulling away from the pack by using their more matured capabilities to better ideate, prioritize, and ensure adoption of more differentiating and transformational uses of data and AI.
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