In today’s AI-driven world, the saying “quality over quantity” resonates profoundly, particularly for emerging startups in the AI field. The cornerstone of a successful AI model lies in its complex algorithms and, crucially, in the caliber of its training data; this elevates the role of data preparation – refining and structuring raw data – to
