The report The economic potential of generative AI: The next productivity frontier , published by McKinsey & Company, estimates that generative AI could add an equivalent of $2.6 trillion to $4.4 trillion in value to the global economy. The largest value will be added across four areas: customer operations, marketing and sales, software engineering, and R&D. The potential for such large business value is galvanizing tens of thousands of enterprises to build their generative AI applications in AWS. However, many product managers and enterprise architect leaders want a better understanding of the costs, cost-optimization levers, and sensitivity analysis. This post addresses these cost considerations so you can optimize your generative AI costs in AWS. The post assumes a basic familiarity of foundation model (FMs) and large language models (LLMs), […]
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