A quick review list to catch memory growth, unstable types, and slow steps before the pipeline runs for hours.
Reusable checklists and templates for large-scale data mining. Tools focus on reviews, validation, safe format changes, and quick checks for automation and LLM systems.
A quick review list to catch memory growth, unstable types, and slow steps before the pipeline runs for hours.
A small set of checks to confirm the sample still behaves like the full data: distributions, variance, and stability.
A short plan to convert safely: schema decision, chunk strategy, and verification steps to avoid silent corruption.
A quick test list for retrieval + answer systems (RAG): sources, retrieval quality, grounding, safety rules, and cost limits.