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How generative AI works
Diverse datasets are collected and processed, forming the basis for training Generative AI models on the AI network.
AI models or algorithms work on analyzing and learning patterns within the datasets to generate new, unique outputs.
Once the AI model is trained and validated, it’s deployed into the AI network to generate solutions, designs, or any required outputs.
Models that successfully generate valuable and coherent outputs are optimized and fine-tuned, contributing to the evolution of Generative AI and completing the generative process.
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