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This episode explores AI inference, the critical step where trained AI models solve real-world problems. Expert Soo Mei May clarifies the difference between training and inference, and discusses key challenges for businesses: use case definition, cost management, and handling "hallucinations." She emphasizes the importance of data privacy and the growing role of AI PCs in enabling on-device inference.
This episode explores AI inference, the critical step where trained AI models solve real-world problems. Expert Soo Mei May clarifies the difference between training and inference, and discusses key challenges for businesses: use case definition, cost management, and handling "hallucinations." She emphasizes the importance of data privacy and the growing role of AI PCs in enabling on-device inference.