Finetuning Open-Source LLMs // Sebastian Raschka // LLMs in Production Conference 3 Keynote 1

// Abstract
This tutorial starts by surveying the different ways we can use LLMs. Then, we will take a deeper dive into various LLM finetuning strategies, such as low-rank adaptation, and learn how we can create custom LLMs using open-source software.

// Bio
Sebastian Raschka has been working on machine learning and AI for more than a decade.

Next to being a researcher, Sebastian also has a strong passion for education and is best known for his bestselling books on machine learning using open-source software.

After his Ph.D., Sebastian joined the University of Wisconsin-Madison as an assistant professor in the Department of Statistics, where he focused on deep learning and machine learning research until 2023.

Taking a yearlong break from academia, Sebastian joined Lightning AI in 2022, where he now focuses on AI and LLM research, developing open-source software, and creating educational material.

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