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

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.