Running and Customizing Your Own LLM

This training is designed for industry professionals who are ready to take their AI initiatives to the next level by developing a deeper technical understanding and gaining the skills needed to implement and customize LLMs within their organizations.
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.
Practical Information
Tuesday 18 February 2025, Online
Timing: 9:00 - 12:00
Prerequisite: Knowledge of Basic Python, Basic Linux command line
Participation is free of charge, register via the form below.
Registration
This training is part of the Digital Europe project "RebootSkills".