DATA PROCUREMENT
How to buy AI training data: a founder’s checklist
A practical checklist for buying AI training data: sample quality, instruction coverage, licensing scope, preparation costs and a measurable pilot.
Read the guideYOURSOTA INSIGHTS
Build with better data.
Decide with clearer evidence.
Practical guides for founders, research leads and model teams turning real work into useful AI data.
MODEL STRATEGY
RAG vs. fine-tuning: which does your AI product need?
A founder-friendly guide to RAG vs. fine-tuning: diagnose missing knowledge or weak task behavior, choose the right data and test a focused pilot.
Read the guideTASK DATA & EVALUATION
Multi-step instruction datasets: how to evaluate real task history
Learn what to inspect in multi-step instruction datasets: human inputs, ordered revisions, result files, validation evidence and project-level evaluation splits.
Read the guideFROM RESEARCH TO A REAL SAMPLE
What should your model learn?
Bring your use case. We will discuss source coverage, preparation and licensing.
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