Advanced Deep Learning: Generative AI in production – Running & Customizing your own LLM

In today's fast-evolving AI landscape, understanding and harnessing the power of Large Language Models (LLMs) is crucial for businesses looking to maintain data confidentiality, control over their model lifecycle, and reduce operating costs at scale. This course offers a practical, in-depth exploration of running and customizing your own LLMs, tailored specifically for industry professionals. 

Throughout this course, you will gain a clear understanding of what LLMs are and how they operate, including key concepts such as tokenization, attention mechanisms, and encoding. We'll dive into prompt engineering, fine-tuning techniques, and retrieval-augmented generation to show you how to adapt these models to meet your specific business needs. Additionally, you'll learn about model selection strategies, quantization methods, and how to effectively fine-tune your own LLM to enhance its performance and applicability to your data.

About Reboot Skills

The course is developed under the framework of the EU-funded REBOOT SKILLS project, an initiative designed to enhance the digital expertise of professionals in the European manufacturing sector, addressing the digital skills gap exposed by rapid digitization and the COVID-19 pandemic. Supported by the Digital Europe program, it collaborates with academia, research, and industry to offer accessible training in four key areas: Artificial Intelligence, Internet of Things, Robotics, and Cybersecurity