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GPU Considerations, Labeling Privacy, Rapid Fine Tuning, and the Role of Private Eval Pipelines to Benchmark New Models

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Balancing AI Model Development

This chapter explores the balance between the rapid depreciation of base AI models and the necessity of training specialized models for various industries. It emphasizes the importance of leveraging domain data and highlights strategies for cost-effective fine-tuning and continuous improvement of AI systems.

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