Content

Generate high-quality texts in no time using AI tools and get good grades—that’s one of the promises you see on social media. But can it really work, and is it allowed?

In this workshop, you’ll learn,

• How do Large Language Models work?
• What are the potentials and limitations of generative AI in academic contexts?
• What are the ethical implications of generative AI?

Note: In the workshops, you will learn through hands-on experience how to use AI-based tools responsibly and what legal and ethical implications they entail. According to the policy paper of Freie Universität, the academic departments decide whether AI-based tools may be used for coursework. This may also vary from seminar to seminar. In any case, be sure to consult with your seminar instructor or advisor before using AI tools for your assignments.

General Information

• Registration: Required, see below
• Language: English
• Duration: 90 minutes, the course starts on time
• Target Group: Students at all stages of their studies
• Lecturer: Johanna Gröpler
• Meeting Point: The course will be held via the Cisco Webex platform. Login details will be sent by email one to two days before the event.

Dates

• Available on Request, please contact auskunft@ub.fu-berlin.de

Content

In addition to AI-based text-generation tools, there are also applications designed for use in academic research. Their features range from displaying citation contexts to more complex research assistants.

In this workshop, you’ll learn,

• How can you (not) use AI for literature research?
• What is the Retrieval Augmented Generation (RAG) and what are AI Research Assistants?
• What are the legal restrictions and subject specific limitations?

Note: In the workshops, you will learn through hands-on experience how to use AI-based tools responsibly and what legal and ethical implications they entail. According to the policy paper of Freie Universität, the academic departments decide whether AI-based tools may be used for coursework. This may also vary from seminar to seminar. In any case, be sure to consult with your seminar instructor or advisor before using AI tools for your assignments.

General Information

• Registration: Required, see below
• Language: English
• Duration: 90 minutes, the course starts on time
• Target Group: Students at all stages of their studies
• Lecturer: Johanna Gröpler
• Meeting Point: The course will be held via the Cisco Webex platform. Login details will be sent by email one to two days before the event.

Dates

• Available on Request, please contact auskunft@ub.fu-berlin.de

Content

To achieve the desired results with generative language models, the prompts (inputs) are important.

In this workshop, you’ll learn,

• What is prompting and why do you need it when interacting with AI-based tools?
• What are the basic prompting strategies?
• What prompts are appropirate for responsible use in an academic context?
• How can you use prompt libraries?

Note: In the workshops, you will learn through hands-on experience how to use AI-based tools responsibly and what legal and ethical implications they entail. According to the policy paper of Freie Universität, the academic departments decide whether AI-based tools may be used for coursework. This may also vary from seminar to seminar. In any case, be sure to consult with your seminar instructor or advisor before using AI tools for your assignments.

General Information

• Registration: Required, see below
• Language: English
• Duration: 90 minutes, the course starts on time
• Target Group: Students at all stages of their studies
• Lecturer: Johanna Gröpler
• Meeting Point: The course will be held via the Cisco Webex platform. Login details will be sent by email one to two days before the event.

Dates

• Available on Request, please contact auskunft@ub.fu-berlin.de