The author also provides advice for technology leaders considering adopting AI. Suggestions include studying early adopters, monitoring AI use in their industry, understanding the risks and costs, mastering the basics of how AI works, and being patient. The author warns of complex issues around privacy, role-based access, compliance, and security, which will be discussed in a future article.
Key takeaways:
- Generative AI, such as ChatGPT, works by processing data simultaneously rather than sequentially, allowing for more efficient computation and the ability to train at a massive scale.
- Transformers, the foundational models that underpin generative AI, are computationally expensive and require advanced hardware and large, high-quality public training datasets.
- Before adopting generative AI, organizations should study early adopters, monitor its use in their industry, understand the risks and costs, and master the basics of how these models work.
- Despite the rapid advancement of AI, organizations should move forward with purpose and caution, understanding their specific use cases, desired outcomes, costs, and risks before incorporating AI usage.