Fine-Tuning Language Models by Laurens Tetzlaff скачать в хорошем качестве

Fine-Tuning Language Models by Laurens Tetzlaff

Fine-Tuning Language Models: When to customise Language Models for better performance by Laurens Tetzlaff This talk covers how LLMs changed the way we do and see Data Science, a decision matrix on when to consider what type of GenAI solution as well as in which cases you actually want to fine-tune LLMs. We'll look at practical instruction-based fine-tuning techniques like LoRA/QLoRA and share lessons learned, including common mistakes to avoid. About the speaker Laurens Tetzlaff is an engineer and scientist specialising in building and scaling data and AI solutions, teams, and organisations. With a background in data science, information systems engineering, and entrepreneurship, he thrives at the intersection of business and technology to create impactful products. At Netlight, Laurens enables clients in the data and AI domain to unlock their full potential while shaping Netlight as a sustainable platform for client impact and personal growth. Topic was presented at Munich Datageeks - September Edition 2025 https://munich-datageeks.de/