Abstract
This perspective outlines two complementary directions for next-generation LLM training: agent-based systems for automatic, reusable data preparation and unified data-model interaction systems that dynamically select, mix, and reweight training data.
Type
Publication
arXiv preprint arXiv:2603.14712
Xiaochen Ma
Ph.D. Student in Computer Science and Engineering
I work on data infrastructure and high-performance distributed systems for large-scale LLM data preparation, with a focus on Ray and Apache Spark.