Training
Deploying Large Language Models Locally
2 dec. 2026 09:00 - 13:00
Large Language Models (LLMs) are a class of machine learning models that have recently gained a lot of attention. These models are trained on large amounts of data and after training can be used in many applications.
Although models from OpenAI and Google can be used as services online, it is often desirable to have a model that can be used offline. This training will show you how to deploy and use such models locally.
Praktische info:
2 dec. 2026 09:00 - 13:00
4
uur
ICTS KU Leuven (hybrid), Willem de Croylaan 52/bus 5580, 3001 Leuven
Engels
Doelgroep: This training is for you if you need to deploy Large Language Models (LLMs) on your own infrastructure.
Leertraject
Inschrijven?
- Voorwaarden: You will need experience programming in Python. Familiarity with Linux or HPC environments is recommended.
- Prijs: Gratis
georganiseerd door:
Learning objectives
When you complete this training, you will
- understand what LLMs are and how they are trained;
- be able to use a pre-trained LLM for text generation;
- be able to use Retrieval Augmented Generation (RAG) for question answering on your own data;
- understand how quantization works and how it can be used to reduce the size of a model;
- be able to fine-tune a pre-trained LLM for a specific task.
Lesgever/spreker
- Kennisrepresentatie en redenering
- Machine learning en besluitvorming
- Neurale, evolutionaire en fuzzy computation
- Statistische fysica
- Ontwikkeling van bio-informatica software, tools en databases
- High performance computing
