Optimizing AI Deployment
Effective communication and understanding of constraints are crucial when deploying AI models at scale. Many data scientists mistakenly believe that running a model on a limited dataset is sufficient for real-world applications. Without proper optimization and awareness of resource limitations, costs can skyrocket, undermining the intended use case. Educating teams on these challenges is essential for successful implementation.In this clip
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Machine Learning Street Talk (MLST)
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