Hi everyone
Instats is excited to offer a 1-day seminar, Fine-Tuning LLMs for Text Analysis <https://instats.org/seminar/fine-tuning-llms-for-text-analysis>, livestreaming December 16 and led by Dr. Seraphine Maerz from the University of Melbourne. As large language models become indispensable across social science, health, and policy research, this workshop teaches you to adapt general-purpose transformers to domain-specific corpora, dramatically improving classification, entity extraction, sentiment, and topic analyses while reducing annotation costs. Blending concise theory with step-by-step Jupyter/Colab notebooks in both Python and R, you?ll master data preparation, evaluation metrics, LoRA and classification-head techniques, and know when fine-tuning or prompt engineering is the best methodological choice. Designed for those with no prior coding experience, the day concludes with you taking home fully reproducible pipelines, rigorous decision rules, and the confidence to deploy LLMs responsibly in your own projects. Register for the companion AI-Powered Qualitative Analysis in R <https://instats.org/seminar/ai-powered-qualitative-analysis-in-r> running December 12 and receive a 10% discount on both seminars.
Sign up today <https://instats.org//seminar/fine-tuning-llms-for-text-analysis> to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit!
Best wishes
Michael Zyphur
Professor and Director
Institute for Statistical and Data Science
https://instats.org