Adopting generative AI requires a deep understanding of this rapidly evolving technology. Much of this work falls to CTOs and tech-focused personnel. But CEOs and other business leaders also make decisions that control costs, speed innovation, and help ensure generative AI meets your organization’s goals.
Choosing FMs has a big impact on cost and the capabilities of your generative AI applications. There is no one-size-fits-all approach to choosing a model, so it’s important to evaluate their capabilities rigorously and collaboratively to balance price and performance. The fine details about data are the domain of CDOs, CTOs, and data scientists, but business insight helps ensure your data serves as a crucial differentiator. You may need to determine whether your organization needs to invest in upgrading its data infrastructure, to make it more suitable for fueling your generative AI applications. The condition and availability of data can greatly affect the relevance of results, the success of your generative AI applications, and the cost of implementation.
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