How to Calculate the Costs and Prove the Business Value of GenAI
CIO Mind, The Gartner CIO Podcast
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Estimating Costs and Controlling AI Model Deployment Costs
Estimating the costs of AI model deployment at scale is challenging due to the uncertainty of API calls and text volume required for accuracy. It is recommended to simulate different workloads and usage scenarios to estimate lower and upper bounds. Providing a range of models for flexibility and enabling choice can help in mitigating costs. Different deployment approaches have varying trade-offs between upfront and ongoing operational costs. Simulating costs and estimating the trade-offs of deployment approaches can assist in cost control. Other cost-control strategies include using prompt templates.
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