Machine Learning Algorithms & Natural Language Processing

May 17, 2026 · Artificial Intelligence

How to Build Agentic Factual SFT and Mid‑Train Datasets: Query Selection, Trajectory Generation, and Tool Usage

This article outlines a systematic approach for creating agentic factual SFT and Mid‑train data, covering the definition of training goals, query filtering, two‑layer classification and labeling, trajectory format, differences between Mid‑train and SFT, a practical synthesis pipeline, and common pitfalls to avoid.