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The overall generative AI cost depends on several important factors like project size, data quality, model type, and technical needs. When creating a generative AI solution, teams must plan for model training, testing, integration, and long-term support. Costs also change based on customization, cloud usage, and security needs. Industries use generative AI for automation, creativity, and smarter workflows, which makes planning even more important. Whether you want text generation, image creation, or predictive tools, careful development helps maintain efficiency. Understanding these aspects helps companies manage project goals better and build a stable long-term solution without overspending.
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