Mastering LLM Data Preparation with LLM DataStudio: A Step-by-Step Guide

Overview

H2O.ai's Head of Global Training, Andreea Turcu, walks through why data preparation is often the hardest part of working with large language models and how LLM Data Studio addresses it. The session covers what makes a model "large," the difference between LLMs, generative AI, and foundation models, and the LLM build lifecycle. Andreea then demos the tool's Curate, Prepare, and Augment tabs, including a live pipeline that turns a raw PDF into hundreds of cleaned question-answer pairs ready for fine-tuning.