Dataset Engineering: The Art and Science of Data Preparation
Read OriginalThis article summarizes a chapter on dataset engineering from Chip Huyen's book 'AI Engineering'. It details the core philosophy and practical processes of data preparation for AI, including data curation for fine-tuning and training, criteria for quality, coverage, and quantity, and a workflow example for creating an instruction-response dataset. It discusses technical concepts like ossification and data synthesis.
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