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Successful course on generative AI at UiT, in collaboration with Visual Intelligence

Visual Intelligence organized a special curricular course on Generative AI at UiT The Arctic University of Norway this spring. The course covered Large Language Models, Generative AI for images, and Generative AI for audio.

Successful course on generative AI at UiT, in collaboration with Visual Intelligence

Associate professor Benjamin Ricaud organized a new special curricular course on Generative AI at UiT The Arctic University of Norway this spring semester. The course covered Large Language Models, Generative AI for images, and Generative AI for audio.

Generative AI is a cutting-edge technology that uses machine learning algorithms to create or generate data, content, or information autonomously. It can produce text, images, music, and even other types of media by learning from existing examples and then generating new, often highly realistic, and contextually relevant content.

- Generative AI has a wide range of applications, from natural language processing and image synthesis to creative content generation and data augmentation, revolutionizing various industries and offering innovative solutions in fields such as art, entertainment, healthcare, and more, says Ricaud.

Benjamin Ricaud organized the new special curricular course on Generative AI at UiT. Photo: Private.

- Most companies that visit UiT to pitch ideas for master projects typically lean towards generative AI. The course is thus extremely valuable and relevant in the industry sector, as well as academia and research, Ricaud adds.

The goal of the course was to give students a hands-on experience with these new technologies. The students practiced with new open-source tools for generative AI. At the end of the course, the students will understand the concepts behind generative AI and be able to program and interact with their own generative models.

- The course also emphasized creating different AI tools, which could lead to possible startup ideas, Ricaud adds.

The evaluation was based on a 3-weeks project at the end of the course. The students got to run a practical experiment in which they performed and analyzed one or more methods discussed in the course. The students delivered a report about it, including its code.

Around 20 UiT students signed up for the new course, which is a significant amount compared to regular courses at the master's level.

Visual Intelligence assisted by funding one of the course teachers Erland Grimstrad, a previous UiT student working at the startup Abdera.ai.

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