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Course unit, curriculum year 2024–2025
COMP.CS.530

Fine-tuning Large Language Models (LLM), 5–10 cr

Tampere University
Teaching periods
Active in period 3 (1.1.2025–2.3.2025)
Course code
COMP.CS.530
Language of instruction
englanti
Academic years
2024–2025, 2025–2026, 2026–2027
Level of study
Syventävät opinnot
Grading scale
Yleinen asteikko, 0-5
Persons responsible
Vastuuopettaja:
Pekka Abrahamsson
Vastuuorganisaatio
Informaatioteknologian ja viestinnän tiedekunta 100 %
Järjestävä organisaatio
Tietotekniikan opetus 100 %

This course provides a detailed exploration into the practical application, ethical considerations, and open-source landscape of fine-tuning large language models (LLMs) for students with basic programming skills. Beginning with foundational data management techniques, the curriculum emphasizes the critical role of high-quality, privacy-conscious dataset preparation, specifically tailored to enhance open-source LLMs. Through detailed instruction on the architecture and functionality of these models, students will gain insight into the vast potential and challenges of working with open-source AI technologies. Throughout the course, participants will engage in practical exercises and projects that apply fine-tuning techniques to open-source LLMs, emphasizing the creation of AI systems that are not only technologically advanced but also ethically sound, transparent, and secure. This hands-on experience is designed to equip students with the technical skills necessary to contribute to and innovate within the open-source AI community.

Learning outcomes
Prerequisites
Further information
Learning material
Studies that include this course
Completion option 1
5 ECTS for completing core modules and practical labs

Osallistuminen opetukseen

07.01.2025 23.02.2025
Active in period 3 (1.1.2025–2.3.2025)
Completion option 2
Choose Assessment Item 2, if you want to complete both parts: 5 ECTS for completing core modules and practical labs, and an optional additional 5 ECTS for an in-depth project focused on applying trustworthiness principles in LLM fine-tuning, totaling 10 ECTS.
Completion of all options is required.

Osallistuminen opetukseen

07.01.2025 23.02.2025
Active in period 3 (1.1.2025–2.3.2025)

Itsenäinen työskentely

07.01.2025 23.02.2025
Active in period 3 (1.1.2025–2.3.2025)