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Towards high-quality (maybe synthetic) datasets

Practical AI

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Maximizing Efficiency with Smaller Models and Data Annotation Strategies

This chapter discusses the advantages of employing smaller models for hosting and fine-tuning, highlighting their cost-efficiency and privacy benefits. The speakers provide insights into fine-tuning on consumer-grade hardware, data annotation, and effective workflow setup using Arjila.

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