Institute of Computer Science
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  2. 2023/24 spring
  3. Special Course in Machine Learning: Prompt Engineering (MTAT.03.317)
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Special Course in Machine Learning: Prompt Engineering 2023/24 spring

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  • Schedule
  • Presentations
  • Links

Seminar schedule

The course will take place in hybrid format on Tuesdays at 16:15 - 18:00 in Delta room 1024 and Zoom (log into courses to see the link). Meetings shall also be recorded and made available after the sessions in this tab.

You are free to choose whether to attend online or in person, but notice that, for enrolled students, attendance of at least 75% is required in order to pass the course.

In the following schedule table, you can find the links to the recorded sessions. Below the table, as the presentations progress, you will find the link to the questions that enrolled students have to answer. For more information on that, check the tab Presentations, where you can also find the link to the form to select your topic and date of presentation.

SeminarDateTopic
Seminar 01Feb 20Theme 1 - Introductory session by the lecturer
Seminar 02March 05Theme 2
Seminar 03April 2Theme 3
Seminar 04April 16Theme 4
Seminar 05April 23Theme 5
Seminar 06April 30Theme 6
Seminar 07May 7Theme 7
Seminar 08May 14Theme 8
Seminar 09May 28Theme 9

Contents and question forms

  • Theme 1: Introductory session by the lecturer: Course Organization/Prompt Engineering Fundamentals.
  • Theme 2: Article Trapping LLM “Hallucinations” Using Tagged Context Prompts. Question form
  • Theme 3: Topic LLMs and Prompt Engineering in the Medical/Healthcare Field. Question form
  • Theme 4: Article Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions. Question form
  • Theme 5: Topic LLMs and Prompt Engineering in the context of text-to-image generation. Question form
  • Theme 6: Paper Large Language Models Are Human-Level Prompt Engineers. Question form
  • Theme 7: Suggested topic Data annotation from GenAI with prompt engineering. Question form
  • Theme 8: Topic LLMs and Prompt Engineering in the Education Field. Question form
  • Theme 9 (by the lecturer): Topic Are Automated Prompts the Future of Prompt Engineering.
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
In case of technical problems or questions write to:

Contact the course organizers with the organizational and course content questions.
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