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#223 [Radar Recap] Charting the Path: What the Future Holds for Generative AI
DataFramed
Challenges of Implementing Generative AI in Production
The chapter delves into the intricate challenges of deploying Generative AI, stressing the need for increased compute resources, higher costs, and new operational processes. It highlights the significance of addressing model governance, monitoring, unexpected failures, and behavior changes through rigorous quality assurance and human oversight amidst complex business process and people orchestration challenges in regulated industries.
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