Finetuning Open-Source LLMs - Strategies and Custom LLM Creation

Explore the world of large language models (LLMs) in this keynote presentation from the LLMs in Production Conference. Dive into various LLM finetuning strategies, including low-rank adaptation, and learn how to create custom LLMs using open-source software. Survey different ways to use LLMs, from prompting and retrieval to building classifiers and instruction finetuning. Gain insights from Sebastian Raschka, a seasoned machine learning and AI researcher with over a decade of experience, as he shares his expertise on parameter-efficient finetuning and open-source LLM libraries. Discover the NERS Large Language Model EFF Efficiency Challenge and engage in a Q&A session to deepen your understanding of LLMs in production.