Teaching syllabus
Course index 2026-2027
- 01Tue 27 Oct12:15 – 13:45Introduction to TransformersCourse 01Online
- 02Thu 29 Oct12:15 – 13:45Transformer architectureCourse 02Online
- 03Tue 01 Dec12:15 – 13:45Large Language ModelsCourse 03Online
- 04Thu 03 Dec12:15 – 13:45LLM trainingCourse 04Online
- 05Mon 07 Dec23:59PyTorch refresherTo do at home before lab 1, and to hand in by Monday 7 December at 23:59.Lab 00Homework
- 06Thu 14 Jan08:45 – 10:15LLM tuningCourse 05On site
- 07Thu 14 Jan10:30 – 12:00Predicting the next tokenLab 01On site
- 08Thu 14 Jan14:00 – 15:30LLM reasoningCourse 06On site
- 09Thu 14 Jan15:45 – 17:15Causal attention and a small GPTLab 02On site
- 10Fri 15 Jan14:00 – 15:30Agentic LLMsCourse 07On site
- 11Fri 15 Jan15:45 – 17:15Supervised fine-tuningLab 03On site
- 12Sat 16 Jan08:45 – 10:15To be updatedCourse 08On site
- 13Sat 16 Jan10:30 – 12:00An evaluated RAGLab 04On site