Remove AI Architect Remove Data Quality Remove Generative AI
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Narrowing the confidence gap for wider AI adoption

AI News

The best way to overcome this hurdle is to go back to data basics. Organisations need to build a strong data governance strategy from the ground up, with rigorous controls that enforce data quality and integrity. The clear takeaway is to offer comprehensive training in quality prompting and other relevant skills.

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Don’t Sleep on Your Database Infrastructure When Building Large Language Models or Generative AI

Unite.AI

This is doubly true for complex AI systems, such as large language models, that process extensive datasets for tasks like language processing, image recognition, and predictive analysis. Only then can we raise the potential of AI and large language model projects to breathtaking new heights.